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future. 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
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together with their supervisors, as well as with other doctoral students and postdocs in the supervisors’ groups. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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-supervisors, as well as with other doctoral students and postdocs in the supervisors’ lab. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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The Department of Cell and Molecular Biology (ICM) (https://icm.uu.se) is organized into seven research programs, each focusing on distinct areas within cell and molecular biology i.e. computational
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academic and industrial collaborators. The position is funded by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) program and the student will integrate into the DDLS
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learning, using large-scale Neuropixels recordings combined with computational modelling. The project is embedded in a national network of data-driven life science research spanning eleven Swedish
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methods. Good computer skills. Meriting Qualifications Documented theoretical or practical experience in structural biology and/or mass spectrometry. Experience in project management and communication with
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Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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The Department of Gene Technology, at KTH Royal Institute of Technology, is looking to fill a position as Assistant Professor focused on innovative development and application of computational
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need to fulfil the following requirements: PhD in one of the following fields: bioinformatics, molecular biology, computer science or related subjects the employer considers of relevance to the position