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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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) Application Deadline 30 Jan 2026 - 12:37 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Not
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 hours 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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) Application Deadline 15 Mar 2026 - 22:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme 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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, the China Scholarship Council (CSC) and the DAAD have offered a joint programme to support Chinese postdocs since 2013. Who can apply? Outstanding graduates from Chinese Universities and institutes. What can
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genomic approaches Application of the modeling approaches in relevant downstream tasks Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
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data from the European XFEL facility at DESY. Project website: https://www.mpinat.mpg.de/628848/SM-Ultrafast-XRay-Diffraction Your profile Eligible candidates have strong skills in computational physics
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integration into a science-industry collaboration with practical relevance HIGH-PERFORMANCE COMPUTING: Leverage cutting-edge computational resources, including access to top European supercomputers on site
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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning