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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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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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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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of large amounts of imaging data Communicate with other data generating platforms within the SciLifeLabs Integrated Data Service program Collaborate with national high-performance computing (HPC) resources
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computer science or an equivalent education, such as a Master of Science in Engineering. A minimum of 10 years of documented experience working in IT as a developer, systems specialist, architect, or similar role
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this team, you will play a key role in developing computational methods, analyzing complex datasets, and contributing to integrative omics efforts in close collaboration with researchers from various
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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