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data-driven materials modeling and mechanistic microstructure simulations by combining crystal plasticity, dynamic recrystallization, precipitation kinetics, and machine learning into a unified digital
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11.09.2025, Academic staff A Ph.D. position is available in the Professorship of Data-driven Materials Modeling to contribute to the development of efficient, certifiable, and practical solutions
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