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of interventions designed to meet the development needs of coaches. The project will be led by Professor Andy Smith, Director of the Centre for Mental Health, Sport and Physical Activity Research and Head of
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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The project will work alongside Vishay Intertechnology, which brings together a number of world leaders in power semiconductors and energy conversion to develop solutions for automotive, aerospace
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understanding of flood risk and its impact, alongside tools that assess the effectiveness of management solutions, to inform decision making and policy recommendations. This project will use the CityCAT model
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Computing Strategies: Develop algorithms that dynamically adjust computing resources to minimize energy usage without compromising performance. Thermal Management Techniques: Design systems that effectively
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-impact journals and international conferences Along with transferable skills in project management, technical writing, teamwork and public engagement, graduates will be well-positioned for careers in a
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electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health Management (IVHM) Centre, established in 2008 in collaboration with industry leaders such as Boeing, Rolls-Royce
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Location: Students will be based at the CREWW building on Streatham Campus in Exeter. Flooding is the most common natural disaster, impacting billions worldwide. Natural Flood Management (NFM), a
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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community at the National Biofilm Innovation Centre NBIC. You will be working and accessing facilities in £100m, state-of-the-art the new SPECTRA building. Project outline: The biocompatible polymer, Chitosan