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and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as
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consideration of material recovery or end-of-life aspects in battery systems experience with advanced characterization methods, such as advanced electron microscopes, thermo-analytical methods, various
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