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materials and technologies. Using advanced computational modeling and machine learning, we seek to elucidate the mechanisms governing the self-assembly of lignin in different solvents and the formation
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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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. The workplace You will work at the Division of Education and Adult Learning (PVL) in a research project led by Senior Associate Professor Erik Nylander. The employment This employment is a temporary contract of
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