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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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Museum fuer Naturkunde, Leibniz Institute for Evolution and Biodiversity Science | Berlin, Berlin | Germany | about 11 hours ago
various animal models. These two research programmes have, however, largely remained separate, and a unified morphological and molecular understanding of how the diversity of animal sensory cells has
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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): https://grail.physik.tu-dortmund.de/ The objective of GRAIL is to study high-energy phenomena, such as terrestrial gamma-ray flashes (TGFs), thunderstorm ground enhancements (TGEs), gamma-ray glows (GRGs
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discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc3/ DC4: Atomistic Modelling and Design of Thermoelectric Materials and Interfaces Host: King’s College London (KCL), London
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
Job description:Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500
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large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG Forschergruppe FOR 5880), you will develop models of performance and energy to guide the co-design of software