33 Computer-Science-"https:"-"https:"-"https:"-"https:" "https:" "Imagine Institute" positions at SciLifeLab
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Ph.D. or similar working experience in Image analysis, Bioinformatics, Computer Science, Data Science, Engineering, Physics, or equivalent Extensive (5+ years) experience of applying and/or developing
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features. No cookies to display. Reject Save My Preferences Accept Skip to content PhD student in Medical Science, AI and Bioinformatics Linköping University Share: Facebook Twitter LinkedIn Email
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programme at the Wallenberg Centres for Molecular Medicine (WCMM), within the Program for Academic leaders in Life Science (PALS) network; see https://www.palsnetwork.se . SciLifeLab is now seeking a
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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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Swedish life science research community, and participating in international collaborations. Within NBIS, you will be part of the BioImage Informatics team ( https://www.scilifelab.se/units/bioimage
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study programmes attract researchers and students from around the world. With new knowledge and new perspectives, the University contributes to a better future. The Institute of Biomedicine is
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a Master’s degree in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or
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Translational Stop Codon readthrough at the Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University. Reference number: SU-465-0125-26. Deadline for applications: Sep 30
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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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Fellows program The PhD position is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems