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This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers the cost of tuition fees and a standard tax-free stipend (based on the UKVI rate which is
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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difficult for industry to predict and control product performance. This PhD project will tackle that challenge by applying advanced polymer characterisation techniques to better understand and quantify
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include a paragraph about your motivation to study this PhD project.
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Type of award Scholarship Managing departments Faculty of Humanities Alliance Manchester Business School Value For successful applicants, The University of Manchester will cover their full tuition
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Deadline: All year round How to apply: uom.link/pgr-apply-2425 How many positions: 1 Open to: UK students This 3.5-year PhD project is fully funded by The University of Manchester and the funding is
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How to apply: uom.link/pgr-apply-2425 How many positions:1 This is an industry funded PhD for home and overseas students. The successful candidate will receive a tax free stipend set at the UKRI
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to existing postgraduate students. Applicants must hold an offer of study at The University of Manchester before applying for this funding. RADMA's support is focused on the field of ‘R&D management' and we
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(ACED) funded project under the Inequalities theme. ACED partners include the University of Cambridge, University of Manchester, UCL, DKFZ, OHSU, and Dana-Farber Cancer Institute. Main duties and
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cancer early detection research. The postholder will work closely with researchers from the University of Cambridge, Oregon Health & Science University, the University of Manchester, the German Cancer