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Overview The Sheffield Centre for Health and Related Research (SCHARR) are recruiting a researcher with a strong background in causal inference and interest in health technology assessment (HTA
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Bayesian system identification in nonlinear engineering dynamics School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded Students Worldwide Prof Keith Worden
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University of Sheffield, School of Mathematical and Physical Sciences Position ID: MPS -TT_IRF [#26555] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Sheffield
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Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline
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Bayesian system identification in nonlinear engineering dynamics
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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. However, BOLD fMRI does not measure neural activity directly and hence a fundamental problem exists: how to interpret BOLD signal changes and make inferences about the neural activity that generates them
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opportunities to employ health economic methodology. The PhD will be supervised by experts including Dr Stephen Bradley (cancer diagnosis in general practice), Prof Nick Latimer (causal inference and health
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Interview Motivated in learning new methodologies and applying new knowledge Essential Interview Knowledge of the approximate Bayesian machine learning (e.g. MCMC) (assessed at: Application form/Interview
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tracking multiple objects by modelling the interactions between them in the presence of uncertainties, e.g. for the sensor characteristics and environment. A combination between Bayesian methods and