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material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property linkages based on numerical simulations and to transform them into AI
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22 Aug 2025 Job Information Organisation/Company GFZ Helmholtz Centre for Geosciences Department Section Hydrology Research Field Engineering » Civil engineering Researcher Profile First Stage
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their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Create design documentation in
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software Structural and thermomechanical simulations, particularly thermal stresses, mechanical loads, and deformation under high-temperature conditions Development of an engineering design for
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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: Excellent Master or subsequent PhD degree in Computer Science, Mathematics, Physics, or similar fields and industry experience Strong software-engineering fundamentals and hands-on experience with HPC systems
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). TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD embodies a university culture that is characterized
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology, as a University of Excellence, is one
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innovation in experimental design and diagnostics. This position is ideally suited for an experimental nuclear physicist with hands-on experience in nuclear detector technology, accelerator operations, beam