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for candidates with a Ph.D. in Electrical Engineering or equivalent, a strong mathematical background and a strong publication record in journals relevant to the research field. As the university operates in
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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-based methods are particularly well-suited to bridging the molecular and experimental scales and will be central to this effort. The research will be performed in the Theory and Modelling group (https
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