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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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:55, Thursday, 4:05-4:55 Credits: 4 Teaching Qualification Requirements: Education: MSc (or higher) in Biostatistics or Statistics Experience: Experience in Bayesian inference, Markov chain Monte Carlo
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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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for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
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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
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, United States of America [map ] Subject Areas: Bayesian inference; inverse problems Appl Deadline: 2025/12/31 11:59PM (posted 2025/10/09, listed until 2026/04/09) Position Description: Apply Position Description
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Research Engineer/Postdoctoral Position Decision and Bayesian Computation (DBC) – Epiméthée (EPI) Laboratory Institut Pasteur, Paris | 25 rue du Docteur Roux, 75015 Paris Position Overview We
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analytical skills, with proficiency in Python or Julia. Experience in statistical modelling, parameter estimation, or uncertainty quantification (e.g. Bayesian inference or global sensitivity analysis
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physics-informed digital twin for offshore wind foundations, combining ultrasonic guided wave monitoring, high-fidelity finite element simulations, Bayesian inference, and machine learning. Guided waves can
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motif, hence renders the identification of the binding protein difficult. Here we propose for the first time to apply the Bayesian information-theoretic Minimum Message Length (MML) principle to optimise