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conditions, including charging protocols, temperature and mechanical loading, influence battery performance, degradation and lifetime. The work combines physics-based modelling with machine learning
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materials science beamline specialising in X-ray diffraction and full-field imaging techniques. The beamline serves a very wide user community, spanning physics and chemistry to medical science. A significant
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batteries. The project focuses on investigating how manufacturing precision and integrated metrology can reduce process variability, minimize process-induced errors, and improve production robustness and how
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practice when the dimension of the data-generating process exceeds the sample size, this project will contribute by developing the distributional properties of generalized inverses of the high-dimensional
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chains, especially how different actors get involved in different venues and how focused issues change. You should develop theoretical frameworks, be responsible for data collection and analysis, and in
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involved in different venues and how focused issues change. You should develop theoretical frameworks, be responsible for data collection and analysis, and in collaboration with co-authors contribute