58 computer-science-intern-"https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at SciLifeLab
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discovery by integrating artificial intelligence with synthetic biology to target “undruggable” proteins. The project is a collaboration between the national SciLifeLab Drug Discovery & Development platform
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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description We are seeking a highly motivated research engineer to join our lab working on the development and
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. Requirements University degree in bioinformatics, computer science, IT, or a related field. At least three years of documented work experience in bioinformatics-related systems development. Excellent knowledge
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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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. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. https://liu.se/en/employee/bjofo78 https://www.nsc.liu.se/systems
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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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postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry. Requirements PhD degree in biochemistry or structural biology
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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universities. SciLifeLab forms an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and