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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
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wave power without emissions. In the PhD you will have the opportunity to explore and develop novel renewable energy harvesting systems and devise and develop new modelling approaches and conduct
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-quality videos to guide the restoration and enhancement of distorted videos. Our goal is to develop a comprehensive framework for video restoration by tackling blind inverse problems with unsupervised
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disturbances. This programme of doctoral work will investigate the prevalence of iron deficiency/ iron deficiency anaemia in high performing athletes and assess the effectiveness of a novel oral iron supplement
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deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or closely related subject (BSc/MChem
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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. Your work will feed directly into the development of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing
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for clean energy technologies and develop the expertise that top employers and research institutes are seeking. The project is supervised by a strong interdisciplinary team: Dr Zakhar Kudrynskyi (advanced
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meeting these needs, this PhD project will involve the research and development of new computational technologies, based on the boundary element and finite element methods, in a high-performance computing
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to cancer biology, as well as a strong commitment of developing and using new tools to address cutting-edge questions in these fields. This studentship is embedded within the piRNA team, consisting of both