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, and constraint satisfaction. This new framework would also allow higher flexibility in managing the trade-offs between solution accuracy, optimality, and computational efficiency, to better adapt
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work on one or a number of these aspects. Students with good degrees on robotics, electrical engineering, computer science, mathematics, cognitive science or subjects where signal processing and
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& Development Your training will begin with an intensive six-month programme at the University of Hull, drawing on the expertise and facilities of all four academic partners. It is supplemented by Continuing
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model of the resulting composite properties Characterisation: Utilising advanced characterisation tools, including X-ray Computed Tomography (CT), XRD, small angle scattering and mechanical testing
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collaboration with diverse communities, researchers, clinicians, and policy experts. You will work alongside a multidisciplinary team and use both qualitative, quantitative and computational modelling methods
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the option to develop numerical simulations of the spicule processes by means of our market-leading computational tools, would that be a preferred methodology of the student. This project may require
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the University of Sheffield online application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as
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Computational modelling of two-dimensional graphene-based materials School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Natalia Martsinovich Application Deadline
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T.Vickey@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further Information on the Particle Physics group in Sheffield and our projects can be found here
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may also be considered. Candidates should be aware of and meet the entry requirements for the university hosting the PhD studentship. Funding Notes The programme is four years and starts in September