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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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, serving the SciLifeLab infrastructure and the Data Driven Life Science (DDLS) research program. The Data Centre has a national assignment and operates a range of life science data and e-infrastructure
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. You will collaborate closely with the principal investigator, other postdocs, PhD students, and external collaborators to advance research objectives and generate high-impact results. In
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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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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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, 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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life sciences (DDLS). We have a national assignment and operate a range of services for life science data and e-infrastructure. We also work with issues about FAIR data and open science, and in close
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-research-school/ddls-research-school-postdoc-call-2026/
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candidate, who is eager to learn and has a genuine scientific interest. Extensive knowledge in and practical experience with protein expression and structural characterization is mandatory. Documented
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, translational and clinical research related to cancer. Your mission You will work in close collaboration with the PI, PhD students, postdocs, and collaborators to support a well-functioning and collaborative