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the mismodeling of gravitational waves, of astrophysical environments, or of noise artifacts in gravitational-wave inference, The development of Bayesian data analysis techniques to carry out parameter estimation
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. The postholder will be based in the Center for Communicable Disease Dynamics within the Department of Epidemiology, and will be a member of the HIV Inference Group a geographically distributed and substantively
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and genomic) data to address the most pressing health research challenges. The advanced analytics team specialise in the development and application of statistical methodology (including Bayesian
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to astrophysical flows (e.g., inversion methods, Bayesian/statistical inference, uncertainty quantification) Strong programming and data-analysis competence; ability to produce reproducible workflows. Experience
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(“propagates”); how it varies among diseases, subtypes, and individuals; how risk factors influence mechanisms. The role holder will work within a common Bayesian inference framework enabling quantification
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, Artificial Intelligence , Bayesian Statistics , Big Data , Scientific Machine Learning , Social Sciences , Biomedical Informatics , Causal Inference , Computational Social Science , Data Science and
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Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian inference methods and their astrophysical applications. Southampton's School of Mathematical Sciences is home to a
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getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied
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for learning about models from data, 2) incorporation of expert knowledge in model building through Bayesian prior elicitation, and 3) develop new methods for identification of conflicts in different parts
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radio interferometry data, particularly very long baseline interferometry. Experience with or skills relevant to statistical modelling and Bayesian inference. Demonstrated familiarity with the fields of X