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and simulation of RNA transport and organization in developing cells, and parameter inference and identifiability for biophysics experiments. The work will be performed in a cross-disciplinary setting
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adaptation, dataset shift robustness) Causal inference for risk prediction and decision support Fairness and trustworthy AI in healthcare applications Multi-modal representation learning and integration
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policy, urban planning, data science, environmental science, or a related field. • Strong quantitative skills in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium
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. Occupational Summary The Department of Neurology seeks a Post-Doctoral Fellow to work in the Vascular Neurology division on clinical research at the interface of causal inference, econometrics, biostatistics
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for a Postdoctoral Scholar. The Scholar will conduct research on Bayesian spatiotemporal modeling methodology under the direction of Professor David Dunson at Duke on developing novel models motivated by
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assessments, employer surveys) to strengthen the trustworthiness of inferences drawn from multiple instruments and support accurate program-level decision-making. Monitor and refine the overall infrastructure