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Vacancies PhD Position: Improved Temper Roll-Force Prediction Through Microstructural Modelling Key takeaways Steel is extensively used in sheet form across a wide range of applications. Two
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of steel the microstructures will change leading to unknown product properties. The aim of this project is to advance existing micromechanical models such as the well established Crystal Plasticity method
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work in close collaboration with the teams at the Max Planck Institute of Microstructure Physics (Prof. Xinliang Feng) and at the Dresden University of Technology (Prof. Thomas Heine). About the Leiden
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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materials, to aid design of novel more energy-efficient processing routes. The development of these digital twins requires reliable and predictive models for microstructure formation during steel processing
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of these digital twins requires reliable and predictive models for microstructure formation during steel processing. These models should be based on accurate predictions of phase stability and defect kinetics