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microstructural descriptors that are physically meaningful and predictive. Probabilistic surrogate modelling and digital twin construction. The extracted microstructural descriptors will be used to learn a
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, SEM, XRD, or particle size analysis Understanding of hydrometallurgical or battery recycling processes Integration of modeling or theoretical predictions with experimental work Collaborating in
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probabilistic modelling. The focus will be on quantifying and evaluating uncertainty in both numerical and categorical predictions derived from medical reports, and on integrating these uncertainties
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