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Field
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(DoSChem) – Austria’s largest doctoral training program in chemistry. DoSChem brings together more than 200 doctoral students and over 50 PIs, fostering interdisciplinary and curiosity-driven research
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Background: The transition towards electrified automotive and aerospace transport demands electric motors with increasing power density, efficiency and operating voltage without compromising reliability. These trends, together with wide-bandgap converters and fast-switching voltage waveforms,...
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will investigate compounds targeting a specific signalling pathway to promote axon regeneration. Candidate compounds will be identified through computational screening and human-derived neuronal culture
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This 3.5 year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to...
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of Manchester with forging simulation, both experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will
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English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. For funding and how to apply, please click the apply button above. The
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Magnox and AGR decommissioning, while also understanding the graphite materials that may underpin future advanced modular reactor technologies. This PhD will form part of the EPSRC-funded ENLIGHT programme
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This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to...
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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for device functionality and reduced electrical current requirements, making them highly promising for energy efficient computing and storage technologies. This PhD project will provide novel insights