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speech (i.e., statistical learning), we aim to understand the neurophysiological underpinnings of the beneficial effects of music exposure across early language acquisition. The underlying neural network
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effectiveness and toxicity of the treatments. Other duties: Develop and validate cancer risk prediction models using deep neural networks based on semistructured data. Develop and validate learning strategies
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surrogates of electronic Hamiltonians. The postdoctoral researcher will develop graph neural networks based on the MACE architecture to predict Hamiltonian elements for 2D materials and van der Waals
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