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machine learning and deep learning approaches, the heterogeneity of autism under the lens of early motor and gestural development, trying to identify: (i) new early behavioural markers of autism risk; (ii
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digital twins. The candidate is expected to have some knowledge of probabilistic machine learning, probabilistic programming, generative models, evolutionary algorithms, and experience with cyber-physical
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drag reduction in graphene with a combination of electronic structure methods and large-scale atomistic molecular dynamics (MD) powered by machine learning and high-performance computing (HPC). The first
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