36 algorithm-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" positions at SciLifeLab
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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advanced national postgraduate courses. Engage in the strategic development of advanced machine learning and AI at the bioinformatics platform, the DDLS program and SciLifeLab as a whole, in close
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in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification Uppsala university Share: Facebook Twitter LinkedIn Email Application deadline October 16, 2026
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Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would you like to work together with
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(National Bioinformatics Infrastructure Sweden: www.nbis.se ) to help shape and accelerate the adoption of advanced machine learning and AI in data-driven Life Science research. At the SciLifeLab
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Information Technology Are you interested in working with machine learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron
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SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) . Group members are enrolled in the national programs of SciLifeLab and DDLS, as well as the Wallenberg Centre for Molecular
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multi-omics analysis and grow as an independent researcher prepared for a future career in academia, biotechnology, or data-driven precision medicine. As a PhD student, you devote most of your time to
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Information Technology Are you interested in working with probabilistic machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models
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would also like that you have these qualifications: A curious and driven personality with a passion for basic research and/or method development Good ability to work in a team Strong publication record or