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theme of this PhD programme is to examine the contribution of lifestyle factors, especially physical activity, and the interaction with health and modifiable risk factors. This is important because
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically
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for candidates with A master’s degree (e.g. MSc, MEng, MPhys, MRes or equivalent) in a relevant engineering or physical sciences discipline, such as electrical/electronic engineering, general engineering
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electric machines for future defence and aerospace propulsion systems. The research will explore innovative machine topologies and advanced multi-physics design methodologies to enable electric machines with
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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or equivalent in a subject relevant to the proposed PhD project, including chemistry, materials science, engineering, physics or a related field. The studentship covers fees at the Home rate (UK and EU applicants
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diseases of the eye. You will work at the intersection of mathematics, physics, AI, and clinical practice through careful design and production of optical metasurfaces, which can help to correct macular
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a mixture of computational, analytical and machine learning approaches to model the heat transfer to fuels and their physical and chemical behaviour, including changes in chemistry and physical
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physically active population) as well as being one which many people do not recover well from and often suffer a reinjury. Thus, the injury has a high prevalence and can produce lifestyle limiting symptoms