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Bayesian risk quantification for accelerated clinical development plans (C4-MPS-Oakley)
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Lecturer (BIOS 691) Winter 2026 BIOS 691 Special Topics in Biostatistics (4 credits) Winter 2026 BIOS 691: The aim of this course is to provide researchers with an introduction to practical Bayesian methods
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 12 days ago
any line management responsibilities. Areas of interest include, but are not limited to, novel approaches to Bayesian methods, causal inference, dynamic benefit-risk assessment, genetic and molecular
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multi-dimensional niche models, and applying advanced Bayesian spatio-temporal methods. You will: Build n-dimensional abiotic niches for >6,700 species and estimate population positions within them
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 hours ago
hypotheses and computational analyses. Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian
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of the research include: (1) Designing and executing methods to integrate data from different sources, including developing a Bayesian Hierarchical Modeling framework; (2) using integrative modeling approaches
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management and human factors research. As desired, the project provides opportunities to be involved in Bayesian analytic methods and health economic studies. The final salary and offer components are subject
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learning with machine-controlled measurement tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods
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comparing models with entirely different structures and parameter counts, whether comparing linear regression against mixture models or decision trees. MML is strictly Bayesian, requiring prior distributions
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” between data and models, including likelihood-free inference (e.g. Approximate Bayesian Computation) and simulationbased calibration, to ensure the ABMs remain predictive and falsifiable rather than