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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month 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 (f
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interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than one of them, please re-submit your application for each
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applications for the department AG Dichgans on the 1st April 2026, in full time, for Postdoctoral Researchers in Vascular Biology, Neuroscience, or Computational Biology – CRC 1744-funded (m/f/d) Scope of duties
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interdisciplinary team. Please keep your eyes open for related positions advertised in parallel to this one. If you see yourself to be qualified for more than one of them, please resubmit your application for each
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theoretical models and methods as well as in implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum
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applications for the AG Liesz on the 1st April 2026, in full time, for Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology – ERC funded (m/f/d) Scope of duties A postdoctoral
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25 Feb 2026 Job Information Organisation/Company Constructor University Bremen gGmbH Department School of Science Research Field Computer science Researcher Profile Recognised Researcher (R2
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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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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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. 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