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or time-sensitive semantic modelling Interest in digital humanities or historical linguistics * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting
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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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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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" funded by the Leverhulme Trust. The position will commence on 1 April 2026 or as soon as possible thereafter. The successful applicant will work with Prof. Rich Kerswell on a project to investigate the
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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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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