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programme. The doctoral programme comprises 25 credits and is offered in two study variants: 25 credits spread over 8 terms (a total of 4 years) or over 12 terms (a total of 6 years), starting each autumn and
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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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will be part of the faculty-wide doctoral education programme. The doctoral programme comprises 25 credits and is offered in two study variants: 25 credits spread over 8 terms (a total of 4 years
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effects. Importantly, computational predictions will be directly linked to experimental evaluation of GalNAc-conjugated RNA therapeutics. This position offers a unique opportunity to work in a highly
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of polyploid genome evolution across contrasting timescales. The student will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data
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epidemiology and biology of infection with start date 1 September 2026, or as agreed. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Data driven
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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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2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable 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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11 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Information Technology Research Field Computer science Engineering Mathematics
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into their molecular components in time and space, from single molecules to native tissue environments. About the Project - DDLS Data-Driven Life Science (DDLS) uses data, computational methods, and artificial