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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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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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Scholarship Value base amount of 1,650 EUR per month plus individual country allowance (e.g., research in Germany will be funded with 2,400 EUR per month overall, in the US the overall funding is 3,800 EUR
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related to staff position within a Research Infrastructure? No Offer Description Join Eisbach Bio GmbH as PhD Fellow! EISBACH BIO GmbH is a biotechnology company based in Planegg, near Munich, Germany. It
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international research network in the field of educational research with an integrated PhD training program. The successful candidate is expected to specialize in research methods (potential areas of expertise
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and other geophysical data in geothermal models Potential test of innovative complementary methods for integration in the geothermal models Contribute to selected other test cases within Equip-G
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
research, encompassing large observing programs in planet and star formation as well as exoplanet search, instrumentation development, theoretical modeling, and laboratory astrophysics. A number of exciting
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ageing, with a particular focus on the contribution of mTORC1 signaling. We are seeking a highly motivated and creative postdoctoral fellow with a PhD (or near completion) in molecular or cellular
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German Center for Diabetes Research (DZD) and the TransCampus collaboration with King's College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify