7 parallel-programming-"Intelligent-Systems-Group" Postdoctoral positions at SciLifeLab
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solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. The CGR lab conducts research at the cutting
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matching, diffusion), simulation-based inference, and robust and active learning. The group has a wide network of collaborators and strong access to compute through national GPU systems (NAISS, e.g
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to enable cutting-edge life science research in Sweden. The successful candidate will join the Scientific Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which
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multidisciplinary group combining biology, physics and chemistry to advance our understanding of biological processes with a specific focus on structure – function relationships in lipid systems for drug delivery
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biology. Alternatively, you have gained essentially corresponding knowledge in another way. Among the required qualification, the applicant will possess experience with advanced cell culture systems
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the
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, of which 60 are PhD students. Read more about MBW at www.su.se/mbw. Project description: We are seeking a highly motivated and talented postdoctoral scientist to join the research group of Ylva