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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 21 days ago
or adverse events in rare disease populations due to limited data and low event frequencies. Frequentist methods often lack sufficient power to detect safety signals in these scenarios. Bayesian methods offer
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 21 days ago
therapeutics and generic drugs. This effort covers more than just medicines. Research Project: Bayesian hierarchical model (BHM) are used to derive more precise estimates of subgroup treatment effects by
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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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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 21 days ago
therapeutics and generic drugs. These efforts cover more than just medicines. Research Project: The project is a comprehensive research initiative focused on advancing Bayesian statistical methodologies for rare
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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discovery. Bayesian approaches provide a principled framework for modeling uncertainty by capturing posterior distributions over model parameters or predictions. Despite recent progress in approximate
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2 Apr 2026 Job Information Organisation/Company Université Paris-Saclay GS Physique Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 29 Apr 2026 - 22:00...
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This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a first point of contact, and should...
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real-world field data. The central research question of this thesis is: How can Extreme Value Theory (EVT) and Bayesian Networks (BN) be coupled to build a predictive and dynamic model of NaTech risk