26 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"P" positions at SciLifeLab
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international collaborative projects within host-microbe interactions, vaccine research, technological development (in spatial biology), and mucosal immunology. The groups also work closely with multiple
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between RISE Chemical and Biological Formulation and KTH Division of NanoBiotechnology at the Department of Protein Science (SciLifeLab, Solna). The doctoral student will be employed by RISE and registered
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with the SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year initiative aimed at recruiting and training the next
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Are you interested in working with ancient DNA at SciLifeLab Ancient DNA unit, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Job description We are looking for a highly motivated postdoctoral researcher for a joint project between the
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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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biomedicine, biomolecular technology, and biodiversity converge working synchronously under one roof. With one of the highest concentrations of bioinformaticians and computational biologists in Europe, Campus
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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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the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) experimentally addresses fundamental problems in molecular cell biology, integrative biology, and infection and immunobiology
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass