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the Theory Department of the FHI , which will start Jan 2026, is offering a 3-year PhD position for ML-accelerated modeling of the dynamics of realistic catalytic interfaces. This position is a combination of
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Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Programme Description The Boehringer...
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— no unnecessary bureaucracy when new results require rapid adaptation of experimental approaches. Agile cadence: Clear priorities, fast decision-making, and a dynamic biotech environment ensure your PhD project
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innovation location for green hydrogen. Who can apply? PhD students who are interested in any topics related to Green Hydrogen (GH2) and want to be an active part in one of the four working groups: Production
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An error occurred during a connection to uni-goettingen.de. What can you do about it? The site could be temporarily unavailable or too busy. Try again in a few moments. If you are unable to load any pages, check your computer’s network connection. If your computer or network is protected by a...
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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meetings and scientific conferences Support by project data management Your qualifications profile Completed Phd degree in social sciences (sociology, economics, media sciences, political sciences, etc.) A
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or edited volumes and, if applicable, writing and publishing your PhD thesis - supporting the WidowsPrint project, including organising international conferences and editing the conference volumes
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Earth and Environment, aligning cutting-edge research with societal relevance and international collaboration. Our work integrates multidisciplinary studies across Earth's system components, leveraging
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complementary strengths to create a unique, cross-institutional research environment at the intersection of AI and the life sciences. For more information about participating institutions, please visit: https