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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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, computer science or signal processing. Funding Notes This is a self-funded research project. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees
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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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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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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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duties and responsibilities Design and implement a programme of work to gain fundamental understanding of the reactivity and long-term performance of a novel, low-carbon SCM based on proceed EAFS. Prepare
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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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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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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