1,946 computational-physics "https:" "https:" "https:" "https:" "IFM" positions in Germany
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. The successful candidate (f/m/d) is expected to be committed to the university’s strategic goals and to actively shape its holistic development (https://www.tu-braunschweig.de/hochschulentwicklung ). In
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 2 months ago
Starting Date 1 Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 580 Is the Job related to staff position within a Research Infrastructure
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data is needed to process the application. Submitting an application General information on the application via DAAD portal Applications for this scholarship programme are possible in the period June
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Chemistry, Physics, Materials Science, or Geosciences Experience in Raman spectroscopy, glass corrosion, and/or radiochemistry Excellent written and spoken English skills High motivation for independent
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preference in the hiring process. The University of Tübingen is committed to increasing the percentage of women in research and teaching and thus encourages women with adequate qualifications to apply. Please
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in Translational Cell Biology (f/m
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the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the
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found in our guidelines for review under the following link: https://uni-tuebingen.de/en/12271 The successful candidate will be working in a highly collegial and family friendly work environment. The
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD