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Design and evaluation of multi-functional Blue Green Infrastructure under climate change Award Summary Fully funded Studentship: fees, annual living allowance (£20,835), training support grant
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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research into how to improve patient care during recovery from pneumonia. The PhD project will involve setting up and piloting an interventional clinical trial at Nottingham University Hospitals NHS Trust
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into the co-design of ultra-low-power AI hardware architectures tailored for edge computing applications. The research aims to develop neuromorphic processors, FPGA/ASIC-based AI accelerators, and intelligent
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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-generation mechanical seals for high-pressure hydrogen systems—key to renewable energy. Work with Industry Leaders: Collaborate with John Crane, a $1B global technology company driving sealing innovation. Gain
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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Background Access to healthcare is an ever-increasing global issue. Over 15% of the current global population require rehabilitation care, but the majority of them do not receive healthcare access