43 computational-physics "https:" "https:" "https:" Postdoctoral positions in Germany
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2026 - 15:37 (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 Job related to staff
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- 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme
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) Application Deadline 31 Jul 2026 - 21:59 (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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- 21:59 (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 Job related to staff
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AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research | Bremerhaven, Bremen | Germany | 2 months ago
23 Jul 2026 Job Information Organisation/Company AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research Research Field Computer science Environmental science Environmental
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of Numerical Mathematics at the TUM School of Computation, Information and Technology. We strongly encourage applications from women and individuals currently underrepresented in mathematics and computational
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Public Programming Contribute to CBCW research program in one of two ways, contingent upon experience: Development of concepts for building mutual connections between individual research project and other
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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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(typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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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