596 computational-physics "https:" "https:" "https:" "https:" "INRAE" PhD positions in Germany
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, thus, very good proficiency in written and spoken English is required. Submit application to If you decide to apply for the TRR 333 graduate programme, please check the official website https
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experience and knowledge in either of the following: materials science, biomedical engineering, chemistry, chemical engineering, materials engineering, engineering physics, applied mathematics, computational
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2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff
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PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics, Nanotechnology, Nanosciences, Theoretical Physics Description Description The Center for NanoScience
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | about 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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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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Max Planck Institute of Molecular Plant Physiology • | Potsdam, Brandenburg | Germany | about 16 hours ago
language of the doctoral programme is English. All courses and seminars are held in English. The doctoral thesis can be written and defended in English or German. Full-time / part-time full-time Programme
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Degree PhD Doctor of Philosophy Course location München Teaching language English Languages English only Full-time / part-time full-time Programme duration 6 semesters Beginning Winter and summer
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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