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is part of a broader research project, “Restoration Futures in Sweden’s forests for biodiversity & human well-being ". This social science project explores how Sweden will scale up the European Union’s
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Department of Animal Biosciences Technology Description of the doctoral project: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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position is part of the national research programme DDLS. 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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May 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data-driven life science framework. Data-driven life science (DDLS) uses
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-driven life science framework. 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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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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-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 to human
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requirements, the applicant must have credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree Project (thesis). proficiency in English equivalent
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population genetics and conservation genomics computational analysis of large datasets The work will primarily be computational in nature, requiring development of a broad technical skillset. This project is