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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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used in our work centre around optical imaging and spectroscopy and nanofabrication. The work also relies on theory and simulation, specifically focusing on numerical mean-field electrostatics
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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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(e.g. Psychology, Psychiatry) together with relevant experience. They will have sufficient specialist knowledge in cognitive theory and mental health in autism, including in relation to trauma/PTSD and
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of the most important technological challenges of our time. The postholder will adapt existing and develop new research methodologies and materials, contribute to develop new theories and analyse qualitative
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well as methods for inferring genealogical structures such as ancestral recombination graphs (ARGs) and leveraging them to study heritable traits and human evolution. Applicants should hold a be near completion of
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choice theory, or computational modelling. This post is based at the Department of Computer Science and on-site working is required. Remote and part-time working is possible in agreement with Professor
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theory proposed by Urbanczik & Senn (2014, Neuron) suggesting that plasticity is driven by prediction errors generated within neurons when the activity in dendrites does not match the activity in the soma
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prepare, review and refine theories as appropriate. About You You will have or be close to the completion of a PhD/DPhil/DClin or other professional doctorate degree in a relevant subject, (e.g
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first degree in Engineering or Mathematics with specialization in control systems and have completed or be about to complete a doctorate in Control Theory/Dynamical Systems or a highly relevant subject in