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Professor 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
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, certification, and/or registration. Additional Qualifications Working knowledge and experience with R, Stan, Nimble, or other relevant analytical software. Knowledgeable of Bayesian statistical methods, numerical
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confidential basis until the completion of the search process. Inquiries, nominations, referrals, and CVs with cover letters should be sent via the Isaacson, Miller website: https://www.imsearch.com/open
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
-parametric Surrogates with Active Learning, SC AI4S 2024: https://hal.science/hal-04712480v1 Training Deep Surrogate Models with Large Scale Online Learning, ICML 2023: https://hal.science/hal-04102400v1 Loss
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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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designs such as observational study, randomized clinical trial, adaptive randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis Work
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randomizations, Bayesian analysis of randomized trials, conventional meta-analysis, meta-regression, and network meta-analysis. · Develop as an educator by taking an active teaching role in POCUS and EBM
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measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
of Biostatistics. Specifically, the position works on and provides oversight to several federal and industry research and training grants in the areas of casual inference, Bayesian methods, robust methods, frailty
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transportation systems modeling and simulation that could involve integrated machine learning and network equilibrium/simulation, surrogate models/ reduced order emulators or Bayesian or interpretable machine