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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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. The position is based in the Computational Genomics Research (CGR) Lab, within the Data Science and AI division. About us The Department of Computer Science and Engineering , a joint department of Chalmers and
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Molecular Biology (ICM), which is one of Europe’s most prominent biomolecular departments. Your role will be placed at the national infrastructure National Bioinformatics Infrastructure Sweden (NBIS), which
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Lund University Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund
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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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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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for successful and valuable research and education with a focus on materials science solutions for important societal challenges. Our department is an exciting workplace with research in a broad technology-related
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for an exciting multi-disciplinary position where analytical experimental skills and mass spectrometry instruments are used? The Proteomics Core Facility (PCF) is an open access facility organized within the Core
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life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
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collaboration between several universities, with the goal of making Sweden a world leader in life science. The mission of the Data Centre is to facilitate world-class research and improve research quality by