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the best outcome. Precision medicine methods leverage individual-level characteristics to help optimise treatment choices for individuals. This project will leverage recent advances in Bayesian statistical
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uncertainty about those conclusions (uncertainty quantification). Bayesian inference and experimental design methods are increasingly used in scientific practice, and offer appealing theoretical guarantees when
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before the deadline. In many applications such as biological sciences, social science, and engineering, we encounter high-dimensional observations. Bayesian approach can provide a flexible modeling
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Approximation calculations, whose direct use in Bayesian parameter estimation is currently computationally prohibitive. By providing a fast and statistically controlled surrogate for these calculations
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Haslinger and Professor Jason Ralph. The team brings together Liverpool’s strengths in wave propagation and scattering in complex media, mathematical modelling, Bayesian inference and information fusion
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. The team brings together Liverpool’s strengths in wave propagation and scattering in complex media, mathematical modelling, Bayesian inference and information fusion, signal processing, tracking and the
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research environment and/or a record of publication in relevant, refereed journals. Experience with epidemiological data designs, such as cohort and case-crossover studies. Experience with Bayesian
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and may come from any relevant area of theoretical or computational physics, including gravitation, field theory, lattice and numerical field theory, cosmological perturbation theory, Bayesian
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. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models
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. The practical element of your project will be based on, but not limited to, time series analysis, network analysis, Bayesian inference, Machine Learning, as well as computational simulation of mathematical models