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-supervisors, as well as with other doctoral students and postdocs in the supervisors’ lab. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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the department’s activities within method development for machine learning-based computational biology. The duties include supervision of PhD students and postdocs, and teaching at basic, advanced and research level
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life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) invites applications for 22 postdoctoral fellowships starting in autumn 2026. This call marks the launch of a new
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, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
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universities. SciLifeLab forms an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four strategic areas: cell and
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at Campus Solna, about 20 min from campus Frescati. The position is part of the SciLifeLab fellows career program. All four departments involved in this announcement belong to the Faculty of Science and