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application of conditional diffusion models, flow matching techniques, or related generative approaches, as well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong
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well as experience working with probabilistic (Bayesian) methods and statistical modelling. Strong writing and programming skills are essential. A proven record of publishing in high-quality journals and presenting
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting. Previous experience and
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at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals. To conduct individual and collaborative research
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(e.g. Python, R) Experience in the use of neuroimaging analysis (fMRI, MRI) to study mechanisms of brain function Previous experience of using Bayesian methods in both model development and fitting
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of using Bayesian methods in both model development and fitting. Previous experience and knowledge of research methods and study design in clinical trials. Knowledge of Good Clinical Practice (GCP) in
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at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals. To conduct individual and collaborative research
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and papers for presentation at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals
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and papers for presentation at conferences and workshops under the direction of the Principal Investigator or Grant-holder. To assist with the development of research objectives and proposals