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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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than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and
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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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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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Deadline 7 May 2026 - 21:59 (UTC) Country Sweden Type of Contract Not Applicable Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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that fundamentally transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments. About the Project – DDLS Data
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computational capabilities in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data
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in Sweden. This PhD position is part of the DDLS research area Evolution and Biodiversity. Data-driven evolution and biodiversity concerns research that takes advantage of massive data streams such as
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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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part of the Data driven Life Sciences [DDLS] PhD research school. Keywords: PhD position, Metagenomics, human gut microbiota, shotgun metagenomics, microbiota evolution, microbiome, long read sequencing