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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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to an interdisciplinary research program combining experimental neuroscience, tool development, and data-driven analysis to understand neural circuits across scales in health and disease states. The candidate will design
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have demonstrated expertise in Natural Language Processing (NLP) and teaching. They should have the ability to teach both classical statistical methods and modern “black-box” approaches, including neural
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Davis Center for Cognitive Neuroscience Department of Psychology & Neuroscience Duke University Overview: An Associate in Research position on the neural mechanisms of memory networks and representations
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activity across large cortical and subcortical networks in the brain. Using mouse models and approaches drawn from psychiatry, neurophysiology, and biomedical engineering, our work aims to show that
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(Duke-PMA), a neural network-based tool designed to identify youth at high risk for psychiatric illness using low-cost, accessible clinical and behavioral measures. The overarching objective is to address
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Predictive Model of Adolescent Mental Health (Duke-PMA), a neural network-based tool designed to identify youth at high risk for psychiatric illness using low-cost, accessible clinical and behavioral measures