26 electrical-machine-design-"https:"-"https:"-"https:"-"https:" positions at SciLifeLab in Sweden
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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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Skip to content Bioinformaticians in advanced Machine Learning and AI Stockholm University Share: Facebook Twitter LinkedIn Email Application deadline August 23, 2026 Read more and apply SciLifeLab
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features. No cookies to display. Reject Save My Preferences Accept Skip to content PhD student in Machine Learning with a focus on mathematical and statistical methods for uncertainty quantification
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Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine learning and simulation-based inference
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, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic machine learning for the next
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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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instrumentation. Develop methods to improve acute tissue slice culture, cryopreservation and distribution. Analyze the generated data, design and perform validations through tissue imaging and other
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of Biophysics, Department of Applied Physics, studies the physical mechanisms of infection. We are based at KTH and SciLifeLab in Stockholm ( https://hannebellelab.org/ ). We are seeking a PhD student
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collaborative project L2Bridge, which is supported during five years by a donation ( https://www.lu.se/artikel/storsta-donationen-till-lunds-universitet-i-modern-tid) from the Berta Kamprad Foundation
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working with large population-based cohorts and clinical biobanks. The student will learn how to scientifically assess the study quality, perform appropriate study design, conduct high-quality omics