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. Interest in cognitive processes underlying food choice, context effects, and the impact of physiological processes on decision-making. Experience with computational modeling, especially dynamic models
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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data
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1 Apr 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 19 Apr 2026
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experimental teams to integrate transcriptomic and imaging data with computational models and actively contribute to experimental design. Contribute to publications in high-impact journals and present findings
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The centre’s research focuses on the molecular basis
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The centre’s research focuses on the molecular basis
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The sociology department at the John F. Kennedy Institute teaches and studies the political economy of the United States in comparative and historical perspective combining data-driven computational
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 28 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:PostDoc in
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key component of the work will involve the computational integration of multi-omics datasets from both microbial communities and the host, with the goal of uncovering the systemic impact of gut bacteria