10 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"O.P"-"Prof" "Stockholm University" positions at SciLifeLab
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expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University
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At Stockholm University the Department of Biochemistry and Biophysics (DBB) and the Department of Molecular Biosciences, The Wenner-Gren Institute (MBW) are looking to fill one position as DDLS
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University and Uppsala University. The center also collaborates with several other universities. The employment will be placed at the Department of biochemistry and biophysics, at Stockholm university. More
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of Biochemistry and Biophysics, at Stockholm university. More information about us, please visit: www.dbb.su.se Main responsibilities We are looking for a bioinformatician to join our developers team at NGI
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Royal Institute of Technology and Stockholm University, is the largest of today’s six, nationally distributed, SciLifeLab sites where the three Stockholm universities are co-localized under a single roof
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at the Science for Life Laboratory in Stockholm, a centre for large-scale life-sciences. NRM has a close collaboration with nearby Stockholm University, which includes joint supervision of PhD students. NRM has
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DNA unit, you are part of a team that includes staff at Stockholm University, and is part of a research environment that includes the Human Evolution research program at Uppsala University and the
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facilitating the large-scale analysis of biological processes at the molecular level. SciLifeLab Campus Solna, founded in 2010 as a joint effort by KI, KTH Royal Institute of Technology and Stockholm University
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University and Uppsala University. The center also collaborates with several other universities. The employment will be placed at the Department of biochemistry and biophysics, at Stockholm university. More
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting