29 computer-programmer-"https:"-"FEMTO-ST"-"Inserm"-"AMOLF" "https:" "https:" "https:" "https:" "DESY" uni jobs at SciLifeLab
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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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Factory Service Hub is operated as a project under the Horizon Europe framework program and will include up to 50 AI experts and other staff working close to academic and industrial users across the EuroHPC
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future. The University
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and autoimmune diseases. Camilla Engblom: https://www.scilifelab.se/researchers/camilla-engblom/ Eduardo Villablanca: https://ki.se/en/research/research-areas-centres-and-networks/research-groups
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security
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Driven Life. Science (DDLS) research program. We have a national assignment and operate a range of services for life science data and e-infrastructure. We also work with issues about FAIR data and open
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the Data-Driven Life Sciences (DDLS) Fellows program. The successful