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) Exchange and close collaboration with partners from physics, computer science, and social psychology Your Profile: Completed master`s degree followed by a doctorate in physics, computer science, mathematics
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. Felix Kahlhoefer (TTP). KIT is also home to a lively experimental program in astroparticle physics (https://www.iap.kit.edu/english/index.php ) and experimental particle physics (https://www.etp.kit.edu
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
(R3) Country Germany Application Deadline 30 Dec 2025 - 12:30 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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-source tools related to the project. Your Profile Required Qualifications PhD in Bioinformatics, Computational Biology, Computer Science, Physics, or a related field. Strong programming skills (e.g
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number CSS-116 Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS
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). This project is funded by the DFG priority program SPP2474, which aims to discover new gene functions in human microbiome members (see https://spp2474.de). More information about ongoing research in
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40 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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13 Nov 2025 Job Information Organisation/Company GSI Helmholtzzentrum für Schwerionenforschung Research Field Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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seismologist with strong theoretical and computational skills to develop new probabilistic and physically informed approaches for seismic hazard assessment. The successful candidate will contribute to the next
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically