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curate datasets for training ML (e.g. DeepONet) models by materials testing to identify relevant parameters and ensure consistency between simulations and empirical observations dissemination of results by
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via electron backscatter diffraction (EBSD). We are seeking a motivated researcher with a passion for metallurgy and materials engineering, eager to tackle industrially-relevant problems. Ideally, you
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materials testing to identify relevant parameters and ensure consistency between simulations and empirical observations dissemination of results by publications in peer-reviewed journals and presentation
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Role Participate in cutting-edge research under the guidance of leading experts in the field. Develop a novel constitutive material model that incorporates the yield point phenomenon at the macroscale
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as topology optimisation, are required to enable optimum performance. The durability of novel, advanced materials under specific operating conditions is also largely unknown and so research
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computational chemistry and biochemistry studies as directed by Prof. William Goddard within the Materials and Process Simulation Center in the Division of Chemistry and Chemical Engineering Essential Job Duties
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-chemical-physics/ ) led by Prof. Alexandre Tkachenko at the Department of Physics and Material Science, we are looking for a PhD candidate to perform molecular dynamics simulations of different genetic
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for the production, storage, and utilization of hydrogen as an energy source. Central to hydrogen-based technologies are the functional materials that facilitate them. Recently, our research teams have identified a
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dynamics simulation with a focus on mineral processing. This position offers an exciting opportunity to contribute to cutting-edge research aimed at advancing our understanding of mineral behaviour and
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials