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position in Livingstone lab at Harvard Medical School in Boston Massachusetts. The work of the Livingstone lab is focused on primate inferotemporal cortex. We welcome applications from recent PhD graduates
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and naturalistic visual paradigms in macaque monkeys, together with quantitative behavioral analysis and computational modeling, to identify circuit and population-level signatures of drug related
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preferential viewing behavior, using large-scale electrophysiology, behavioral experiments, and computational modeling. We welcome applications from recent PhD graduates who are interested in these or related
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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/Watabe-Uchida laboratory at Harvard University to study the neural mechanism of decision-making. We seek an individual from a various background with an interest in animal behavior, computation in
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates