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Field
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networks, Bayesian inference, computational neuroscience, mathematics.
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. Scientific Aims The project will: • Build hierarchical Bayesian frameworks to jointly infer stellar population parameters and individual stellar properties. • Combine asteroseismic, spectroscopic, and
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Details Panel (longitudinal) data enables learning the dynamics and relations of (groups of) units, strengthening the inference on both cross-sectional and dynamic parameters. The dominant approach
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of interacting particle methods for Bayesian inversion by including model error in the likelihood evaluation. As model problem, we will consider the inference of parameters in phenomenological models for cardiac
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 22 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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and BAT.jl projects. The position also offers opportunities to contribute to research in Bayesian inference and its application to physics in general. The DEMOS project aims to develop state-of-the-art
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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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, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of
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modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring