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and geometric deep learning, or simulation-based inference. We welcome your unique perspective and are eager to learn how your track record, educational vision, and future research goals align with
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Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos, Dr Dimitrios Roxanas Application
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biostatistical training and skills, including longitudinal and correlated data; familiarity with advanced analytics including machine learning, Bayesian methods, and causal inference also desired. Strong written
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the requisite experience. A2 Knowledge of mathematical and statistical methodologies including several of: Statistical modelling and inference, Bayesian statistics and probabilistic modelling, Inverse problems
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beginning August 2026. Visit https://sc.fsu.edu , for more information. The successful candidate is expected to develop an interdisciplinary research group with a focus on Bayesian inference or inverse
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, http://bmi.osu.edu ) and Center for Biostatistics (CFB, https://medicine.osu.edu/departments/biostatistics ) at The Ohio State University (OSU) is currently seeking applicants for open rank tenure-track
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Cornell University, Center for Data Science for Enterprise and Society Position ID: Cornell-CDSES-ARPF26 [#31255, WDR-00055912] Position Title: Position Type: Non tenure-track faculty Position
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-informed machine learning. The ideal candidate will have a strong background in developing and integrating probabilistic graphical models, Bayesian networks, causal inference, Markov random fields, hidden
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circuit mechanism underlying higher cognitive functions such as multitasking, rule-based reasoning and Bayesian inference). In addition to the above areas, there is extensive expertise available in
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currently consists of fourteen tenured/tenure-track faculty and nine full-time instructors. Current research areas of the faculty include survival and reliability analysis, Bayesian statistics, latent