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Management of datasets for FAIR compliance and AI/ML-based discovery Contribute to multi-modal data integration Eligibility requirements PhD in Computational Biology, Bioinformatics, Systems Biology, or a
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to the life sciences Experience in large-scale computing and/or organizing large datasets in the life sciences Proven ability to independently author scientific publications Excellent communication skills in
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to user needs and scientific questions. Qualifications Qualification requirements: A university degree in computer science, physics, engineering, bioinformatics, or a related field (PhD degree is
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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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. 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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background: Degree in Bioinformatics, Computational Biology, Computer Science, or related field with demonstrated omics data experience Pipeline development: Proven experience building and maintaining omics
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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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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of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program The SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources