
Ribocure Pharmaceuticals AB · Sweden
DDLS INDUSTRIAL PHD POSITION We are announcing a position for a Data-Driven Life Science (DDLS) PhD student in data-driven precision medicine and diagnostics. ...
We are announcing a position for a Data-Driven Life Science (DDLS) PhD student in data-driven precision medicine and diagnostics.
To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following
an individual study plan. A doctoral degree corresponds to four years of full-time study.
This is an industry PhD project which is a collaboration between the Karolinska Institute, SciLifeLab and Ribocure Pharmaceuticals
AB. The PhD student will be employed by Ribocure Pharmaceuticals AB but admitted to PhD studies at the Karolinska Institute. The
studies will primarily take place at the Karolinska Institute and SciLifeLab in Stockholm, with frequent research internships at
Ribocure Pharmaceuticals AB in Gothenburg.
We offer a creative and inspiring environment full of expertise and curiosity. The Karolinska Institute is one of the world's
leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for
all. At the Karolinska Institute, we conduct successful medical research and hold the largest range of medical education in
Sweden. As a doctoral student you are offered an individual research project, a well-educated supervisor, a vast range of elective
courses and the opportunity to work in a leading research group. Tbe Karolinska Institute collaborates with prominent universities
from all around the world, which ensures opportunities for international exchanges.
Ribocure Pharmaceuticals AB, based in Gothenburg, is a clinical‑stage biotech company developing innovative siRNA‑based therapies.
Our research focuses on areas with high unmet medical need, including cardiovascular, metabolic, liver, and kidney diseases. We
have access to a strong and vertically integrated platform in oligonucleotide research, spanning from early discovery to clinical
development. Our goal is to turn cutting‑edge science into new medicines for patients. The PhD project will be embedded in a close
collaboration with Ribocure, providing the candidate with valuable exposure to industrial drug development, insight into how
academic discoveries are translated into medicines, and experience of working at the interface between fundamental research and
therapeutic innovation.
Project title: "RIBO-LINC: Linking data-driven solutions and RNA innovation for liver and cardiometabolic health".
An exciting opportunity is available to join a cutting-edge project at the interface of AI, multi-omics, and RNA therapeutics,
aiming to transform precision medicine for cardiometabolic and liver diseases. Current therapeutic strategies largely operate at
the gene level, overlooking the functional diversity generated by alternative splicing. This project addresses this critical gap
by developing data-driven approaches to identify and prioritize isoform-specific therapeutic targets, enabling a new level of
precision in RNA-based treatments. The project will combine large-scale multi-omics integration with advanced machine learning,
including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging
extensive meta-cohort and perturbation datasets, the work aims to uncover isoform-level regulatory mechanisms and guide the
development of next-generation RNA therapeutics with improved specificity and reduced off-target effects. Importantly,
computational predictions will be directly linked to experimental evaluation of GalNAc-conjugated RNA therapeutics. This position
offers a unique opportunity to work in a highly interdisciplinary environment, contributing to the development of transformative
therapies at the forefront of AI-driven biomedical research.
To be admitted to postgraduate education, the applicant must meet the general and specific entry requirements. The qualification
requirements must be met by the deadline for applications.
1. have been awarded a second-cycle/advanced/master qualification (i.e. master degree), or
2. have satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the
advanced/second-cycle/master level, or
3. have acquired substantially equivalent knowledge in some other way in Sweden or abroad.*
Follow the instructions on the web page Entry requirements (eligibility) for doctoral education.
for doctoral education.
To meet the (B) specific entry requirements, the applicant must have
1. credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree
Project (thesis).
2. proficiency in English equivalent to the course English B/English 6 at Swedish upper secondary school. Follow the instructions
on the web page English language requirements for doctoral education.
Verification of your documents: The Karolinska Institute checks the authenticity of your documents and reserves the right to
revoke admission if supporting documents are discovered to be fraudulent. Submission of false documents is a violation of Swedish
law and is considered grounds for legal action.
long-read sequencing).
data.
The selection among eligible candidates will be based on their ability to successfully complete the PhD studies. Key criteria
include analytical thinking, the capacity to work independently and collaboratively, as well as creativity, initiative, and a
strong interest in interdisciplinary research.
datasets (e.g., RNA-seq, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly neural
networks, and experience with workflow management systems (e.g., Snakemake, Nextflow). Knowledge of transcriptomics and
alternative splicing analysis.
projects. Prior research experience in computational biology, functional genomics, or related fields will be highly valued.
problem-solving abilities, and the capacity to work both independently and in collaborative, interdisciplinary environments.
Creativity, initiative, and a structured approach to complex data analysis are essential.
integration and RNA therapeutics. The candidate should demonstrate enthusiasm for bridging computational and experimental
research. Final evaluation will include interviews and reference checks to assess overall fit and potential.
The doctoral student will be employed at Ribocure Pharmaceuticals with affiliation to Karolinska Institute on a doctoral
studentship maximum 4 years full-time.
Submit your application and supporting documents through Ribocure Pharmaceuticals AB recruitment system. We prefer that your
application is written in English, but you can also apply in Swedish.
Deadline to apply is August 2nd 2026.
SciLifeLab is a national center for molecular biosciences with a focus on health and environmental research. The center combines
frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national
resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The
center also collaborates with several other universities.
Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and
processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven
life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a
total of 3.3 billion SEK over 12 years from the Knut and Alice Wallenberg (KAW) Foundation.
In 2026 the DDLS Research School will be expanded with the recruitment of 25 academic and 7 industrial PhD students. During the
course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has
four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics,
epidemiology and biology of infection. For more information, please see
https://www.scilifelab.se/data-driven/ddls-research-school/
The future of life science is data-driven. Will you be part of that change? Then join us in this unique program!
Ribocure Pharmaceuticals AB
Claudia Kutter Research group at the Karolinska Institute and SciLifeLab
DDLS Research School
Department for Molecular Sciences Subject area: Biology Description of the PhD projects We are seeking two PhD students in the field of biogas production, with a focus on the digestion process. The biogas process is currently an important tool for achieving multiple societal benefits and environmental goals. Through anaerobic digestion, a wide range of organic waste streams and residues can be treated while simultaneously closing nutrient cycles and producing renewable energy and nutrient-rich biofertilizers. Biogas production also contributes to increased preparedness and self-sufficiency. The biogas process is driven by complex microbial communities that must remain balanced to ensure efficient and stable biogas production. At the Department of Molecular Sciences, research is conducted both on process operation and optimization and on process microbiology, often in close integration. The PhD projects will focus on the following areas, with some opportunity for the successful candidates to influence the detailed project design. Biogas production from agricultural feedstocks – Process optimisation. Biogas production in the agricultural sector is currently expanding rapidly, creating a strong need for new knowledge and technological development. As a PhD student in this project, you will operate and evaluate different laboratory-scale biogas processes with the aim of optimising both biogas production and biofertiliser quality. The processes will be studied using chemical and microbiological analyses, and there will also be opportunities to work with process modelling. Process microbiology. This project focuses on the microbiology of different types of biogas processes and on how microbial activity is affected by different operational conditions, as well as how these changes relate to process function and stability. The work will involve molecular biological methods and bioinformatics to analyse microbial communities in both laboratory-scale and full-scale biogas processes. The aim is to identify microorganisms and microbial markers associated with specific operating conditions and to be used to predict process disturbances. Qualifications: A Master's degree in biology, microbiology, biotechnology, molecular biotechnology, bioinformatics, or a related field. Excellent knowledge of English, both written and spoken (equivalent to a passing grade in Swedish upper secondary school English B/English 6). Your profile: We are seeking highly motivated candidates with a strong commitment to advancing renewable energy systems and a keen interest in biotechnology and industrial microbiology. Applicants should be able to read and critically evaluate scientific literature in English and communicate effectively in both written and spoken English. Excellent communication and teamwork skills are essential. Meritorious qualifications: Knowledge and experience in one or more of the following areas are considered an advantage: Biogas processes, Modelling and/or programming, statistics, Swedish language skills About us: The positions are based at the Department of Molecular Sciences at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. For more information about the department, please visit our website: https://www.slu.se/en/departments/molecular-sciences/ The positions are connected to the national transdisciplinary centre of excellence, the Biogas Solutions Research Center (BSRC), as well as the Interreg project BEAR for the PhD project 1, carried out in collaboration with Luleå University of Technology and the University of Oulu. BSRC brings together researchers from Linköping University and SLU, together with approximately 50 private and public organizations representing the entire biogas value chain. The PhD positions within BSRC are intended to promote co-production of knowledge between academia, industry, and the public sector, thereby ensuring long-term competence development in both research and industry. Both projects will be carried out within the Microbial Biotechnology research group, and the principal supervisor for both projects will be Professor Anna Schnürer. The PhD students will also be supervised by additional researchers within the research group, ensuring access to the expertise required for the successful completion of the projects. Since the projects are conducted in close collaboration with industry and other societal stakeholders, the supervisory teams may also include external supervisors from industry. Read more about our benefits and what it is like to work at SLU: https://www.slu.se/en/about-slu/work-at-slu/ Read more about doctoral studies at SLU: https://www.slu.se/en/education/programmes-courses/doctoral-studies/ Employment and salary: The position is a full-time doctoral studentship comprising four years of postgraduate education. Salary is determined according to the local collective agreement for doctoral students, with fixed salary progression levels. Scope: 100 % av heltid Location: Uppsala Start date: Upon agreement but not later than December 2026 Application and selection: Please submit your application using the link below not later than 2026-08-31. Applicants are welcome to apply for one or both PhD positions. The application must clearly state which project(s) are being applied for, indicate which project is the applicant's first priority, and explain the reasons for this choice. Read more about the attachments that your application should include at https://www.slu.se/en/study/programmes-courses/doctoral-education/how-can-i-become-a-doctoral-student/application/ Selection among eligible applicants is based on the documents attached to the application, and is carried out with regard to the applicant's ability to complete the programme within the allotted time. Academic union representatives: https://internt.slu.se/min-anstallning/facket/kontaktpersoner/
This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here. Video: https://youtu.be/Xt-yHCN5QS0About the position Are you ready to take your research career to the next level? We offer an exciting 3-year position postdoctoral position that gives you the opportunity to develop a strong profile as researcher. If the candidate has the relevant qualifications the appointment may be extended with a fourth year that includes teaching duties. You will also gain valuable experience that might be relevant for your further career. The purpose of a postdoctoral position is to build up a researcher profile that qualifies for a position as associate professor. The position may also offer additional skills that are relevant to the postdoctoral fellow's future career. Apply for this position to become part of our research environment and take the next step in your career with us. Your immediate leader will be the Head of Department. About the project Within the collaborative and knowledge-building project Valoras awarded from the Research Council of Norway (RCN) (KSP25: industry-oriented research on Biotechnology), we will apply environmental and industrial biotechnology concepts to valorise residual streams, supporting resource circularity in Norwegian aquaculture and agriculture. You will join the research group of Prof. David Weissbrodt (URL) and collaborate closely with Prof. Per Bruheim and Prof. Ingrid Bakke within the Environmental & Industrial Biotechnology research theme of the Microbial Biotechnology division at IBT, as well as research and industrial partners. Our division offers state-of-the-art facilities for bioprocess engineering, microbial cultivation, microbiology, biochemistry, molecular biology, analytical chemistry, mass spectrometry, multi-omics, bioinformatics, and modelling. Our group is embedded in a highly collaborative research environment with strong links across NTNU, national research centres, and international biotechnology, microbiology and water networks. Duties of the position • Conduct high-quality, innovative research in environmental and industrial biotechnology. • Develop as an independent, collaborative scientist with a strong academic profile. • Participate in the environmental & industrial biotechnology theme of the ‘Analysis and Control of Microbial Systems’ and ‘Bioprocess and Microbial Physiology’ research groups, working closely with colleagues of the Microbial Biotechnology division at IBT. • Collaborate with internal and external research, innovation, and industrial partners. • Be active on academic publications and popular science dissemination. • Apply for research funding and write applications and report on progress to funding sources. • Participate in international activities such as conferences and/or research stays. • Contribute to teaching in the fields of Microbiology, Environmental Biotechnology or Biochemical Engineering depending on departmental needs. • Obtain the Uniped pedagogical basic competence in parallel to research and teaching activities, to qualify for a future academic career. • Mentor students and PhD candidates, helping them with their research projects, and advising on methodology and academic writing. • Readiness to relocate in Trondheim, Norway. Required selection criteria • You must have completed a doctoral degree in biotechnology or a related discipline with a strong background in environmental biotechnology, industrial biotechnology, aquaculture and ocean resources, agricultural bioengineering, or related research areas. • Ability to integrate principles in mixed-culture, co-culture, and pure-culture biotechnology. • Strong experimental and theoretical background combining hands-on expertise in biotechnology, bioprocess engineering, microbial cultivation, (eco)physiology, systems microbiology, microbial ecology, (bio)analytics, bioinformatics and mathematical modelling. • Demonstrated ability and motivation for collaborative research and innovation, scientific publishing, student supervision, and teaching. • If you are in the final phase of your doctorate and can document that the thesis has been submitted or that the defense date has been confirmed, your application can be considered even if you have not defended. NOTE: Documentation of the obtained doctorate must be presented before you can take up the position. • Excellent oral and written presentation skills in English (e.g., TOEFL, IELTS, CAE, CPE or an equivalent qualification). PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. If you do not already have educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career-promoting work. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and for general criteria for the position. Preferred selection criteria • Strong disciplinary knowledge in environmental and industrial biotechnology. • Experience engaging with complex scientific questions in resource biorecovery. • Interdisciplinary skillset in biotechnology, bioanalytics and modelling. • Relevant experience in research and innovation projects. • Proven ability to design and conduct experimental research toward definite outcomes. • Ability to seek, obtain, and implement research projects. • Experience with professional interaction with the public and private sectors. • Experience with supervising or collaborating with PhD candidates and BSc/MSc students. • Motivated by science, innovation, and education, with a strong interest in pursuing an academic career. • Knowledge of a Scandinavian language is an advantage for teaching, local integration, and interaction with partners but is not a prerequisite. NTNU offers Norwegian language courses and community workshops for international staff. Personal characteristics Working as a Postdoctoral fellow requires that you • Are motivated by research, innovation and education, while contributing to the organisation • Have a curiosity-driven, creative, and analytical competence with strong experimental design, critical thinking, and scientific writing skills with a goal-oriented, self-driven, well-organised, collaborative and communicative mindset. • Work independently and collaboratively in a team • Are work structured, set goals and make plans to achieve them • Present and discuss your research with other professionals • Engage and contribute constructively with feedback • Work constructively • Show curiosity and a strong motivation for the subject • Analyze data, assess different perspectives and draw well-founded conclusions • Are flexible and open to adjusting the plan for the project as needed Emphasis will be placed on personal qualities. We offer • Being part of a leading, disciplinary, and cross-disciplinary research group and consortium. • Working in a strong and stimulating national and international academic environment. • Interesting research project promoting intellectual growth and career advancement. • An exciting job with an important social mission • Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which contains the skills and knowledge you will acquire • Open and inclusive working environment with committed colleagues • Mentor programme as a new employee at NTNU • Favourable terms in the Norwegian Public Service Pension Fund • Free Norwegian language training at a basic level (A2)As a Postdoctoral Fellow at NTNU, you will have access to employee benefits. Diversity Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time. At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. In addition, at our research group, we promote the effective management of all relevant dimensions in equality, diversity and inclusion. Salary and conditions As a Postdoctoral Fellow (code 1352) you are normally paid depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund. The period of employment is 3 years. If the candidate has the relevant qualifications the appointment may be extended with a fourth year that includes teaching duties. The position is conditional on external funding. As an employee at NTNU, it is important to keep yourself up to date with academic and organizational changes and to adapt to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed About the application The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English. Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request. The application must include: • Brief cover letter highlighting your motivation specific to the scope of the position. • Transcripts and diplomas for Bachelor's-, Master's- and PhD degrees. If you have not yet completed your PhD, you must provide confirmation on your estimated date for the doctoral dissertation, or confirmation that your PhD thesis has been submitted. Documentation of a completed doctoral degree must be presented before taking up the position. • Academic CV and publication portfolio, highlighting information about education, relevant experience in research, teaching and supervision, and outputs. • Short CV filled in the Jobbnorge.no platform. • A weblink to the open-access PhD thesis file (or a copy of the doctoral thesis). If you are close to submitting, you can attach a draft of the thesis (if allowed by your PhD supervisor). Else you can enclose a 1-2 page summary of your PhD thesis. • A short statement of research and teaching interests within the scope of this postdoctoral position (approx. 1000 words). • Academic works - published or unpublished (up to 5 selected items that are most representative/relevant for the position). Publications and any other work that the applicant wishes to be considered should clearly indicate the applicant’s contribution. • Name, affiliation and contact information (email and phone number) of three referees. At least one referee must be an academic actively working in the field of the position and independent of the applicant and of any previous organisations where the applicant has been involved, in order to provide an impartial assessment of the candidate’s qualifications and anticipated future research and academic impact. If all or parts of your education hasbeen taken abroad, we also ask you to attach documentation of the scope and quality of your entire education. Description of the documentation requiredcan be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well. Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation. If you have had leave or another break in your career, it is important that this is stated in your application so that the selection committee can take this into account and that the amount of your research may be reduced as a result. In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal qualities. Motivation, ambitions and potential for research will also be emphasized in the assessment of the candidates. NTNU recognizes a wide range of academic contributions and is committed to follow evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment DORA and the obligations in CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission). General information A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public list of applicants, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted. If you have any questions about the position, please contact Prof. David Weissbrodt, email: david.weissbrodt@ntnu.no, indicating “Postdoc in Environmental and Industrial Biotechnology” in the header. If you have any questions about the recruitment process, please contact our HR-advisor Cecilie Skagfjord, email: cecilie.skagfjord@ntnu.no. If you find this position interesting, and in accordance with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation. Application deadline: 15.08.2026 For practical information about working at NTNU, please visit this webpage. The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000.The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
THE ROLE We have an exciting opportunity for an internship within our AI & Algorithms department. This placement can be between 6- and 12-months duration with a flexible start date, and is suitable for PhD and Masters students who have completed their first year of study. As an AI & Algorithms Engineer (PhD Intern), you’ll have the opportunity to get involved with a range of diverse projects working and supported by a talented team of experts and mentors. You'll engage in hands-on tasks such as modelling, training, testing, and data-wrangling. With cutting-edge labs and computing resources at your disposal, you'll use technology to solve problems in the real world. WHAT YOU’LL BE DOING * Working alongside our engineers building AI systems, developing your skills through hands-on coding and training/testing models. * Supporting projects for our clients to solve real-world problems. * Learning software development skills in mixed-discipline teams, attending stand-ups and contributing to planning sessions. * Contributing to our internal research and development programs, building on state-of-the-art AI literature to produce our own, market-leading solutions and compelling demonstrations that showcase our expertise to clients. * Communicating the results of your work to your colleagues and clients. WHAT YOU CAN BRING We are looking for someone with a degree in a relevant subject, such as AI/machine learning, computer science, mathematics, physics or theoretical physics, and currently studying towards a relevant PhD or Master’s. You will also have: * Interest in applying AI and algorithmic techniques to real-world problems. * Strong Python programming skills and understanding of modern version control (e.g. Git) * Demonstrable research experience in a data-driven field (such as project work, conference proceedings, journals publications). Some projects at Cambridge Consultants are subject to security restrictions. This role requires you to obtain a Security Check level security clearance (https://www.gov.uk/guidance/united-kingdom-security-vetting-applicant). You must be able to work in the UK without restrictions in accordance with UK National Law and be prepared to successfully undertake an appropriate level of UK National Security Vetting according to UK Government National Security Vetting criteria. While not essential requirements, we would also be very interested if you have experience with any of the following: * Information science, Bayesian statistics * Signal processing * Bioinformatics * Reinforcement learning * Transformer and diffusion models * Robotics (including VLA models) * Edge compute WHY CAMBRIDGE CONSULTANTS? Cambridge Consultants creates exciting and novel breakthroughs in technology and products. Our work on intelligent systems area has helped create world-first and market-changing technologies including real-time AI-enhanced medical imaging, autonomous defence systems against cyberattacks, and edge algorithms to help visually impaired people navigate indoor spaces. We combine our research output with engineering rigour to create innovative and robust solutions to solve complex problems presented to us by our clients. We help clients across a diverse range of markets, including defence/security, healthcare, biotech, industrial and energy, so there is no shortage of variety. At the heart of what we do are talented and motivated multi-disciplinary teams empowered to create cutting edge technologies and systems to solve difficult problems for our clients. We offer a diverse, fun, and challenging work environment where you'll have the chance to work on a wide variety of projects that deliver real value using technology. We recognise and celebrate individual talent and we understand the importance of letting individuals be just that. Our people are here to do the best work of their lives and our job is to provide the platform for them to do it. ---------------------------------------------------------------------------------------------------------------------------------- By submitting an application to Cambridge Consultants, you confirm that the information provided in this application, together with any supporting documentation, is true, complete, and accurate to the best of your knowledge and belief. You understand that any false statement, misleading information, or material omission may render you liable to disqualification from the recruitment process, withdrawal of any offer of employment, or dismissal without notice if discovered following appointment. You acknowledge that the organisation reserves the right to verify the information supplied. ----------------------------------------------------------------------------------------------------------------------------------