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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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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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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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of statistical machine learning, (hierarchical) Bayesian modelling, as well as advanced deep neural models for processing linguistic and visual data in humans and machines; and Computational Models of Brain and
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principles and analytic methods relevant in health services research Advanced knowledge of statistical computing and/or Bayesian inference Advanced programming skills in a common statistical software package
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teaching. Statistics faculty in the department are involved in both methodological and interdisciplinary research. They have diverse areas of research interests, which include scalable Bayesian methods
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research areas include, although not limited to, the design of clinical trials, observational studies, longitudinal analysis, survival analysis, epidemiologic modeling, Bayesian analysis, modern causal
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Decree-Law No. 66/2018, published in the Diário da República, 1st series, No. 157, of August 16, 2018. For getting more information about this, we suggest consulting the DGES portal (http://www.dges.gov.pt
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project is to develop scalable and privacy-preserving Bayesian computational algorithms. The position is intended for two to three years, with an initial one-year appointment renewable contingent upon
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of Statistics Tenure-Track or Tenured Faculty Opening in the Department of Statistics at Rice University https://statistics.rice.edu https://engineering.rice.edu/ https://www.rice.edu/ Position Description