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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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FDA Research Opportunity - Assessment of Bayesian Statistical Methods Applied in Regulatory Contexts
Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 1 hour agoconsumer confidence in devices marketed in the U.S. Research Project: You will be a part of the following activities: Landscape Analysis: Survey Bayesian designs used in CDRH device approvals to identify
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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction
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modeling and statistical AI: probabilistic machine learning, Bayesian methods, uncertainty quantification, stochastic modeling, and statistical learning. · Optimization for AI: mathematical optimization
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existing studies, lake model simulations for emulator development and calibration. Use the emulator in a Bayesian statistical framework to quantitatively interpret paleoclimate proxy time series. Lead
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methods of Bayesian inference as relevant to the assigned atmospheric modeling. Expertise with computational implementations of atmospheric radiative transfer, on Linux-based workstations and large High
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well-qualified candidate for this position will also possess: Working experience with Bayesian analysis and MCMC. Bayesian Modeling. MCMC computation. Bioinformatics. Clustering. Salary: Compensation
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 1 hour ago
, noninferiority trials, multiple endpoints, adaptive designs, Bayesian design and analysis methods, estimands, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, patient experience data
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Assistant Professor positions beginning August 16, 2027. We seek outstanding candidates with research interests in causal inference, Bayesian computation, statistics, machine learning, or related areas