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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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) The successful candidate will be part of a vibrant PhD community in the school of Sport, Exercise and Rehabilitation Sciences. They will be trained by senior researchers within our research group. The student will
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No of positions: 1 This 3.5 year PhD project is fully funded at UK rates; the successful candidate will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be
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equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in
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Primary Supervisor - Dr Matthew Jones Scientific Background Megafires, characterised by their extraordinary size, speed, and intensity, are increasingly threatening society, ecosystems, and ecosystem services such as carbon storage (1-4). Recent advances in satellite observations and machine...
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Primary Supervisor - Prof Ian Renfrew Scientific background Arctic climate change and the associated sea-ice retreat are having significant impacts on both the atmosphere, the ocean and their interactions. Atmosphere-ocean surface heat exchange is highest during cold-air outbreaks and high...
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Primary supervisor - Dr Anders Bergström Scientific background The red squirrel in Britain is one of the most iconic examples of a declining population. It has suffered greatly since the introduction of the invasive grey squirrel in the late 1800s, but even before then it was struggling due to...
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Applications are invited for three (3) PhD Studentships, based at the Department of Statistical Science, UCL. The positions can involve any topic within the Statistical Science remit. The positions
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of the student’s project and allow them to network. The partners will also be able to offer the PhD student the opportunity of placements, during which the student can gain major insights. This would help them