
Neko Health AB · Danderyd
Role Purpose: Neko is building toward a multimodal model that predicts disease and health trajectories beyond what human doctors can do today, grounded in prop...
Neko is building toward a multimodal model that predicts disease and health trajectories beyond what human doctors can do today, grounded in proprietary sensor and medical label data no one else has. This role sits inside the Innovation group and turns that ambition into a concrete data and metrics foundation: deciding where Neko's labelling effort goes next, and defining the org-level metrics that connect real medical outcomes to AI progress, a genuinely frontier problem, not an incremental one.
Set the research agenda for Neko's AI across its three horizons: narrow diagnostic models, context synthesis, and the eventual multimodal health model.
Determine where Neko builds proprietary models and where it uses and adapts frontier models from external labs.
Stay at the frontier of health AI research and bring that knowledge into the organisation continuously.
Work closely with the CEO, Medical Innovation and Data Science teams to ensure the research roadmap connects to what ships.
Represent Neko in the scientific community, through publications, conference presence, and relationships with leading research groups.
Act as a talent magnet: the presence that makes world-class researchers want to join Neko.
Build and maintain relationships with the best AI and health AI researchers globally, in academia and industry.
Create an environment where rigorous science and production deployment coexist.
Partner with the hardware and programme management teams to ensure the right data is being captured, labelled, and structured from the point of collection
Help the organisation understand how to work with proprietary sensor data, medical labels at scale, and emerging diagnostic science that does not yet exist in public datasets.
Partner with clinical and medical teams to ensure scientific work is grounded in real health outcomes.
Deep, demonstrated ML expertise in applied health AI, evidenced by publications, adopted systems, or both.
Hands-on track record with messy, high-dimensional real-world data, not only benchmark results.
Demonstrated judgement making dataset-level calls: when proprietary labelling is worth the investment versus when open data is good enough.
Academic relationships strong enough to attract named collaborators and candidates to Neko.
Track record operating as a senior contributor without final decision authority, comfortable at the table rather than leading it.
High agency, with a bias to contribute momentum in a fast-moving environment.
Skilled to represent Neko externally with the scientific community, regulators, or partners.
Appetite and early aptitude for people leadership; this role has a path to building a small team as impact proves out.
What we're building OrbDB is building data infrastructure for AI reliability. For every prediction a model makes, the platform determines whether the model is sufficiently certain for the result to be acted on automatically or whether the case should be routed to a human reviewer. Today’s AI production systems are unable to distinguish which of their predictions are trustworthy. We are building the layer that allows organizations to automate the cases where automation is statistically justified, and to escalate the rest with confidence. OrbDB is founded and led by researchers with deep expertise in the underlying methods. The role You will work on the models that sit at the center of our platform. Our work is built around Graph Neural Networks, and the questions you will engage with are the ones that sit beneath the surface of any serious deep learning system: questions about architecture, training behaviour, optimization, and the relationship between what a model is doing and what we expect it to do. This is a role for someone who knows the fundamentals of deep learning well enough to reason about them from first principles, not from tutorials. You will work closely with our research-led founding team, and the questions you take on will move between the practical and the foundational, often within the same week. Unlike other AI startups, OrbDB builds on a mathematical foundation. So do the teams behind it. OrbDB Labs is a place where solid ideas and good taste matter more than loud voices. Specifically, you will: Train, evaluate, and improve the models that power the platform. Diagnose model behavior at a level deeper than metrics, and propose changes grounded in the underlying mathematics. Make principled choices about model design as required. Work alongside the engineering team to deliver research-grade models into a production system that customers can rely on. What we are looking for 2-4 years of experience working with deep learning models in a serious technical setting, whether in research, industry, or a combination. If you are close to that range and the rest of the role fits, we would still like to hear from you. A real command of the fundamentals of deep learning. You should be comfortable reading a paper, implementing it, and reasoning about why a model is or is not behaving as expected. Strong engineering skills. You write code that others can build on, and you understand that a model is only useful once it runs reliably. Fluency with the modern deep learning toolchain, particularly PyTorch. Genuine interest in the statistical foundations of what we are building. Concepts like Conformal Prediction and calibration should be ones you are eager to understand deeply. Useful, but not required Experience with Graph Neural Networks specifically, or with the libraries that support them (PyTorch Geometric, DGL, or equivalent). A graduate degree in a quantitatively rigorous field, or equivalent depth acquired through other means. Open-source contributions in the ML or deep learning ecosystem, particularly to production-grade libraries. Experience moving models from research code into production systems. This is a Stockholm-based hybrid role. Candidates must be living in or willing to relocate to the Stockholm area before starting.
Chalmers University of Technology invites applications from internationally distinguished professors to join the Academic Excellence Visiting Professor Programme 2027–2028. This highly selective university-wide initiative is designed to attract outstanding professors whose academic excellence, leadership and international networks can contribute to the development of world-leading research and education environments at Chalmers. About Chalmers and our vision Chalmers’ long‑term vision is to be “a globally outstanding university of technology, for a better world”, with academic quality at the highest European level and highly effective utilisation of research results in society. We are currently implementing a group strategy and major investments in excellence‑driven research to become a world‑class technical university by 2041, including strengthened base funding and outstanding conditions for research. Our campus and surrounding ecosystem form a dynamic innovation environment where researchers, students and external partners co-create sustainable solutions for industry and society. The Academic Excellence Visiting Professor Programme is a strategic component of Chalmers’ internationalisation strategy. The programme aims to strengthen academic excellence by attracting internationally recognised academic leaders who can contribute to the long-term development of Chalmers’ research, education and international collaborations. Beyond individual academic achievements, the programme seeks to create lasting value through strategic partnerships, scientific leadership, mentorship and the development of strong academic environments. The Visiting Professor role As a Visiting Professor, you will contribute to the development of Chalmers’ academic environments through research leadership, international collaboration, mentorship, doctoral education and strategic academic engagement. Activities may include initiating new research collaborations, strengthening international networks, contributing to educational development, mentoring early-career researchers and supporting the long-term development of the host environment. The Academic Excellence Visiting Professor Programme at Chalmers will run during 2027-2028. The appointment is a part-time engagement, corresponding to up to 20% of a full-time position for a maximum of two years. Visiting professors are expected to maintain their affiliation with their home institution throughout the appointment. The level of engagement, duration and duties will be agreed jointly between the visiting professor, the host department and Chalmers. Financial arrangements will be tailored to the specific circumstances of each appointment. Please note that the position concerns a Visiting Professor and not a regular professorship with permanent employment. Qualifications According to Chalmers’ Appointment Regulation for teaching and research staff, a Visiting Professor must: Hold a full professorship, or an equivalent appointment at the highest academic rank, at a reputable university. Be able to contribute to both research and education at Chalmers, including supervision and mentoring of students and early‑career researchers. Be prepared to take an active role in collaboration with external partners and in the academic life of the hosting department. Who we invite This is an open call aimed at established researchers who have an outstanding record of scientific achievement and are internationally recognised as an academic leader within their field and who wish to spend a period of time in Gothenburg. Only a limited number of appointments will be made through this highly selective programme. Candidates will be assessed not only on their academic achievements and international standing, but also on their potential to contribute to the development of Chalmers’ academic environments and international position. Expression of interest/application If you are interested in exploring a Visiting Professor appointment at Chalmers, please submit an expression of interest including: A brief cover letter describing: your motivation for applying for the visiting professorship; your proposed area(s) of collaboration; the part(s) of Chalmers' research, education, innovation, or other activities to which you would like to contribute; and your preferred timing and duration of the visit a short CV with selected key publications and major grants or honours a statement (1–2 pages) describing how you envision contributing to Chalmers’ development and its long‑term vision. Expressions of interest will be matched with relevant departments and strategic initiatives after the application deadline. Candidates with the right match will then be invited for a first digital interview. Application deadline: August 15, 2026 Please note: Due to EU regulations (GDPR), we cannot accept applications via e-mail. Please register your application through the apply button below. A background check may be conducted as part of the application process. Welcome with your application. Contact For questions, please contact The Recruitment Unit at: rekr.stodet@chalmers.se *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Working at Chalmers Chalmers provides a dynamic and inspiring environment in the coastal city of Gothenburg, combining academic excellence with a strong commitment to sustainability, equality, and collaboration. Read more about working at Chalmers and our employee benefits. Learn more about life in Gothenburg and Sweden’s family-friendly policies, including generous parental leave, subsidized childcare, free education, and universal healthcare, at Move To Gothenburg. Chalmers promotes gender balance and actively works with equality and inclusion initiatives, such as the GENIE Initiative for gender equality and excellence.
Faculty of Natural Resources and Agricultural Sciences Department of Molecular Sciences Swedish University of Agricultural Sciences is a world-class university in the bio- and environmental sciences, with a vision to play a key role in advancing sustainable living through science and education. SLU offers an attractive research environment distinguished by its uniquely broad and internationally leading research, with excellent opportunities for multidisciplinary and interdisciplinary collaboration with research groups in the social sciences, economics, engineering, and other natural sciences. The Department of Molecular Sciences at SLU Uppsala is seeking an Associate Professor (University Senior Lecturer) in Food Biotechnology. The department currently comprises approximately 90 staff members and, together with three other departments, forms an inspiring research environment at BioCentrum. It encompasses several interacting disciplines, including food science, biotechnology, microbiology, inorganic, physical and organic chemistry, biochemistry, molecular structural biology, and natural products chemistry. Research at the department focuses on both applied and fundamental biological and chemical processes. Note: This advertisement is abbreviated to fit in Platsbanken's recruitment tool. To view the ad in its entirety including additional information, please visit Jobs and vacancies at SLU | Externwebben. More information about the department’s activities and infrastructure is available https://www.slu.se/en/about-slu/organisation/departments/molecular-sciences/. More information about our benefits and what it is like to work at SLU is available https://www.slu.se/en/about-slu/work-at-slu/. Subject area The subject area encompasses food biotechnology, with a focus on the conversion of raw materials into food products primarily through the metabolic activity of microorganisms. Duties The candidate should within the subject area develop and lead internationally successful research develop, lead and participate in teaching at first, second and third cycle level primarily teach in the areas of food science, microbiology, and biotechnology, as well as contribute to other teaching activities at first, second and third cycle level supervise doctoral students and contribute to the development of the postgraduate subjects biology and food science collaborate with other SLU research teams in order to strengthen interdisciplinary activities at the university develop and maintain national and international networks with academia, relevant public authorities, industry, organisations and society at large apply for external research funding contribute to the strategic development of the department, faculty and SLU communicate research findings and other relevant information to society at large perform administrative duties within the department, faculty and university. The department operates in a parallel-language working environment. The Senior Lecturer will be able to perform most of their duties in English. However, as a public authority, the university is required under the Language Act to use Swedish as its principal language, and the appointee is therefore expected to acquire sufficient proficiency in Swedish to communicate effectively within four years of taking up the position. The department will provide support to enable the appointee to achieve this. Eligibility The applicant must meet the following qualification requirements: research expertise in the subject area teaching expertise and ability to integrate research and a scientific approach into teaching excellent proficiency in English. Grounds of assessment and other information Note: This advertisement is abbreviated to fit in Platsbanken's recruitment tool. To view the ad in its entirety including additional information, please visit Jobs and vacancies at SLU | Externwebben. Application deadline: 2026-08-03 Place of work: Uppsala Extent: 100% Form of employment: Permanent employment Starting date: By agreement. Application: For the guidance of your application, there is SLU's appointment procedure for teachers at SLU and General assessment criteria for the appointment of teachers, which you can https://internt.slu.se/stod-service/admin-stod/hr-fragor/rekrytering-till_alla_ovriga_anstallningar/anstallning-av-larare/. Please apply by clicking the apply-button below. Academic union representatives: https://internt.slu.se/min-anstallning/facket/kontaktpersoner/