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complex magnets via interpretable machine-learning models, and develop improved AI models that can accelerate prediction of new synthesizable magnet candidates with high energy density and critical
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controlling electrochemical interfaces across scales. Computational PhD position: You will develop an AI-enhanced multiscale modelling framework combining density functional theory, ab initio molecular dynamics
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agreed upon with their supervisors. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Application periods The following is valid for applicants from: all countries
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