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additional courses offered by other institutions of the University of Freiburg, which may be held in German. Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only
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exciting position with a high degree of personal responsibility and individual decision making Structured doctoral program through the Berlin School of Integrated Oncology Extensive offers for inhouse
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infrastructure, vehicles, and humans. Your responsibilities High-quality research on generative AI methods(LLMs, VLMs, diffusion models) with a strong connection to traffic simulation, autonomous driving, and
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the impact of experimental parameters on ptychography image quality Perform experiments at synchrotron beamlines to validate the results Investigate whether information field theory can be used to quantify
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Application deadline: 05.10.2025 Tasks To perform an independent experimental or computational PhD project in the fields of neuroscience, biochemistry, ophthalmology, and / or datascience. Profile Completed
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mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 27 days ago
Germany Application Deadline 5 Nov 2025 - 23:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded
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to mastering the great challenges facing society today. The Institute of Resource Ecology performs research to protect humans and the environment from hazards caused by pollutants resulting from technical
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The position comes with access to high performance computing resources and access to training
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performance in fuel cell (biogas) and co-electrolysis applications. To achieve this, you will employ computational fluid dynamics (CFD) and machine learning (ML) to investigate degradation mechanisms under