244 professor-computer "https:" "https:" "https:" "https:" "https:" "Keele University" Postdoctoral positions in Germany
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Research Framework Programme? Not funded by a EU programme Reference Number 13-26006 Is the Job related to staff position within a Research Infrastructure? No Offer Description Senckenberg – Leibniz
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 10 hours ago
, see: https://www.demogr.mpg.de/go/work-family . In addition, there are a range of central initiatives and measures primarily geared towards helping young female researchers and mothers to advance
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plant development. PLoS computational biology, 15(6):e1007121, 2019. doi: 10. 1371/journal.pcbi.1007121. URL https://journals.plos.org/ploscompbiol/article?id=10.1371/ journal.pcbi.1007121 . D. E. Moulton
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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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matter properties Physics » Statistical physics Physics » Computational physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 6 Feb 2026
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The Bernhard Nocht Institute for Tropical Medicine (BNITM, https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany with approximately 420 employees. It is the
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5 Feb 2026 Job Information Organisation/Company Charité – Universitätsmedizin Berlin Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 13 Feb 2026
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Positions Country Germany Application Deadline 31 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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Deadline 19 Feb 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 26 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing