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has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience in the development of
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free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and microkinetic models where appropriate collaborate with
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validate mechanistic and hybrid AI models of fungal growth, polymer degradation and bioreactor performance. apply machine learning and optimisation to guide experiments and improve fungal process
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