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, plan, and organize the annual Black Feminist Theory Summer Institute (BFTSI) at Duke University, and 2. to build and implement enduring networks and scholarly programming to keep BFTSI cohorts connected
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northern Kenya. Population Ecology Aging, and Health Network (PECAHN): This postdoc will work with the PECAHN group of research sites, part of the Duke University Population Research Institute, coordinating
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new NIH-funded Center for Excellence in Multiscale Immune Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks
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will be expected to work both independently and as part of a team and positively contribute to a highly collaborative environment. Specific projects pertaining to this position include defining and
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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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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
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evaluation methods, discrete choice experiments, systematic reviews, and meta-analysis, with high levels of proficiency in associated software (e.g., Stata, R, Ngene). Applicants should have knowledge
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, reagents, software, copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members of the research group and others as described in
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, reagents, software, copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members of the research group and others as described in
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the possession and desire to distribute materials, reagents, software, copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members