46 parallel-computing-numerical-methods Postdoctoral positions in computer-science in Germany
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- Technical University of Munich
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- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
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- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Ludwig-Maximilians-Universität München
- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute for Empirical Aesthetics (MPIEA)
- Max Planck Institute for Empirical Aesthetics, Frankfurt am Main
- Max Planck Institute for Gravitational Physics, Potsdam-Golm
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for the History of Science, Berlin
- Max Planck Institute of Microstructure Physics, Halle (Saale)
- Max Planck Society
- University of Potsdam
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, automated characterization techniques we evaluate the catalyst’s performance. This enables the examination of numerous materials in a short time and thus accelerates the discovery of new materials. We work
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 345/2026 Is the Job related to staff position within a Research
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Deadline 28 Aug 2026 - 22:00 (UTC) Country Germany Type of Contract To be defined Job Status Other Offer Starting Date 7 Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agoPostdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in the field of Materials Science, Physics, Computer Science, Data Science, Information
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available in the further tabs (e.g. “Application requirements”). Objective The programme “Future Network Weimar Triangle: Science for Europe” aims to expand the political initiative “Weimar Triangle
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding