38 affective-computing-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in Sweden
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17 Jan 2026 Job Information Organisation/Company SLU Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 27 Feb 2026 - 12:00 (UTC) Country Sweden Type
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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Do you want to contribute to top quality medical research? Interested in developing tools that bridge computational science and nucleic acid technology? Whether your passion lies in computation
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The Department of Medical Biosciences, Umeå University, Sweden, is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular
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/RNA-seq data Collaborate closely with experimental researchers to guide sequencing strategies and interpret biological relevance of computational findings Contribute to publications in high-impact
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close collaboration with domain experts, ensuring both scientific depth and applied impact. What We Offer Freedom to shape research directions and co-develop the project agenda Opportunities for high
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at the spatial level in the colon (ERC Synergy) and the impact of spaceflight on the brain gene Swedish Research Council and Swedish National Space Agency). The postdoctoral research activities will focus
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cluster is part of The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), which is a national research program in Sweden. The vision of WASP-HS is to foster novel
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to better understand the interaction between gut microbiota and host, this research project aims to characterize how specific dietary supplements can affect the composition of the gut microbiota and the
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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses