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dependent predictive deep learning models, and physical mechanistic models (thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You
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team with deep expertise in lignin spanning molecular, supramolecular, and macroscopic scales. The position is based in the Sustainable Materials Chemistry (SUSMATCHEM) research group, which develops
Searches related to deep learning
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