141 computational-physics-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" PhD positions in Germany
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physics and cosmology. The research team includes leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. We are going to use astrophysical
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program of the Institute of Physics. Further, we are networked with the research community worldwide. As an institute of the Leibniz Association, we distinguish ourselves as a modern and innovative employer
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THE FIELDS OF: ATMOSPHERIC PHYSICS AND CHEMISTRY, ELECTROCHEMISTRY, ELECTROCHEMICAL ENERGY STORAGE (BATTERIES), ELECTRONICS, ELECTRICAL AND MECHANICAL ENGINEERING, HIGH-PERFORMANCE COMPUTING, MACHINE LEARNING
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Degree PhD or (if applicable) Dr rer nat Course location Hannover Teaching language English Languages English (100%) Full-time / part-time full-time Programme duration 6 semesters Beginning Winter
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bridging physics and engineering with chemistry, biology and medicine there are highly diverse opportunities to innovate, collaborate and excel. We support career development, continuing education and
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practical research work, including lab experimentation, working with CAD models, and performing battery tests. You'll be part of a cross-disciplinary program aiming to design and validate next-generation
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physics, materials science, computer science or a related discipline background in one or more of the following areas is desired: X-ray or electron imaging techniques, and image processing proficiency in
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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At the Fraunhofer Institute for Applied Solid State Physics IAF, we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness