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computational modelling, whole-brain fMRI analyses, altered states of consciousness, and information-theoretic approaches. Experience in modelling neural dynamics of neuropsychological disorders, supervising
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research, integrating first-person reports with behavioural and neuroimaging data, developing MATLAB/Python pipelines for fMRI whole-brain models, preparing high-quality manuscripts and visualisations, and
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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You will have or be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area from a
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validate numerical simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling
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funding applications or permanent academic positions. About you The successful postholder will hold a PhD/DPhil in geophysics, Earth sciences, or a closely related field. The ideal candidate will have
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morphogenesis and the action of morphogens. We use animal models to investigate the physical morphogenesis of tissues. It is part of the vibrant and supportive environment of the Centre for Craniofacial
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, including overseeing the research database and preparing reports. You will undertake prediction modelling and/ epidemiological research using population datasets including statistical analyses of the data