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Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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located at SciLifeLab in Stockholm , in direct connection with NGI Stockholm . Description of the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial
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Education: A graduate degree or an advanced level (higher education) in Bioinformatics, Computational Biology, Biostatistics, or a related life sciences field with extensive relevant experience (4+ years
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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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to development activities in international projects regarding the management of genomics data and medical informatics where NBIS is active, in order to realize the visions of the 1+MG initiative (e.g., European
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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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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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us in enabling internationally leading, data-driven life science research in Sweden. We warmly welcome your application! Job description Responsibilities As a Software Developer at SciLifeLab KTH, you
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Uppsala University, Department of Cell and Molecular Biology Do you want to work on enabling groundbreaking, data-driven Life Science research in an international environment, supported by competent
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information about us, please visit: The Department of Environmental Science . SciLifeLab houses national research infrastructures and has a mission to provide cutting-edge and enabling molecular technologies