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Analyzing the impact of battery chemistry, aging history, operational profiles, and pack architecture on second-life performance, safety, reliability, and lifetime using a Digital Twin. Developing
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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contributing to research with direct societal impact. Job requirements You hold a PhD degree, or are close to completion, in Aerospace Engineering, Mechanical Engineering, Geoinformatics, Geomatics
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