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The development of sustainable and efficient powertrain systems is central to achieving global decarbonisation targets in transport. Professor Xu has long-standing expertise in internal combustion
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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aims to determine the link between lipid remodelling, antimicrobial resistance and intracellular survival using B. cenocepacia as the model organism. The project is supervised by Professor Yin Chen
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. The resulting findings will help understand how the brain works, how we can maintain brain health and what causes brain disease. Methods We will use the fruit-fly Drosophila as a model organism, for its
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. The resulting findings will help understand how the brain works, how we can maintain brain health and what causes brain disease. Methods We will use the fruit-fly Drosophila as a model organism, for its
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validation in representative environments. The successful candidate will gain expertise in electrochemical sensing, microengineering, and computational modelling, and will join an interdisciplinary research
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benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary surveillance radars specially modified
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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Programme (DTP), offering one home and one overseas 3.5-year studentship covering full tuition fees and a standard UKRI stipend. For further details of how to apply, please click on the 'Apply' button above.