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supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles. This offers a fully funded 4 years stipend and tuition fees at the Home
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people but not others. Better ways to match prevention to the individual are needed. This PhD addresses one defined question: why some people with AF develop left atrial thrombus and embolic events while
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-national groups experience and respond to these digital welfare systems? The precise focus of the PhD will be developed collaboratively with the successful candidate. Methods and Training The PhD will
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. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC
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-time imaging. This PhD project aims to address these barriers by developing AI-driven methods for fluorescence fluctuation super-resolution microscopy (FF-SRM), with a particular focus on the emerging
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polymer insulation fails above 200–280 °C, limiting motor performance. Our project objective is to develop durable ceramic coatings via sputtering on metal hairpin windings, raising possible operating
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spread of corrosion. Thus, long-term 3D mapping and change detection is of great interest for remote maintenance. Previous research at the Oxford Robotics Institute has developed a real-time 3D LIDAR
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) create a technical challenge for direct sonolysis. This project will research and develop solutions for this challenge, alongside consideration of mixed contamination matrices. Mixed contamination matrices
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focused on methodology development, providing excellent all-round training in practical organic synthesis with particular emphasis on contemporary photochemistry. You gain extensive experience in analytical
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
, this project contributes to advancing smart materials diagnostics, supporting sustainability, safety, and technological competitiveness in key engineering sectors. To develop an AI-driven methodology