48 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "J. F" positions at SciLifeLab in Sweden
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, lineage-tracing, and computational approaches to address clinically relevant questions in cancer and drug development. Our work is carried out in close collaboration with national and international partners
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution
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taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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at Campus Solna, about 20 min from campus Frescati. The position is part of the SciLifeLab fellows career program. All four departments involved in this announcement belong to the Faculty of Science and
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources
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this team, you will play a key role in developing computational methods, analyzing complex datasets, and contributing to integrative omics efforts in close collaboration with researchers from various
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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requirements Applicants should possess a Master’s degree in chemistry, computational chemistry, or biophysics. Required qualifications include practical experience with molecular dynamics simulations and
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels