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university. More information about us, please visit: the Department of Biochemistry and Biophysics . Project description Project title: Perturbation-based Multi-omics Inference of Gene Regulatory Networks
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to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a
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for the PLP Strategic Area. Key responsibilities may include: Contributing to the overall scientific direction and strategic development of the PLP program, including developing a long-term vision from
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broad national network of future academic leaders within SciLifeLab and Wallenberg’s national program for data-driven life science (DDLS fellows) and the fellow programs at the Wallenberg Centers
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omics. To achieve this, the doctoral student will use and develop both computational and laboratory-based tools. The doctoral student will need a background that includes experience with both some
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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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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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