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several processing units with variable memory, can be profiled to pool the resources. The analytical systems, developed on data collected by onboard sensors and software triggers, can assist the operating
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wealth inequality, and how their career paths, values, and social networks maintain the status quo. As a PhD student on this programme, you’ll play a key role in generating new insights that could help
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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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forth various socio-technical challenges related to data interoperability, process transparency, legal compliance (e.g. with GDPR, EU AI Act), privacy-preservation, and individuals’ trust and
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should always be via the online system of the University of Edinburgh. Closing date: Tue, 30/09/2025 - 12:00 Principal Supervisor: Dr Sebastian Neira Castillo Assistant Supervisor: Dr Paul Judge
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Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD project description: Inkjet printing allows multiple materials to be 3D-printed
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Type of award Studentship Principal investigator Prof. Peter Scott, Director of the Lincoln Theological Institute. Managing department Faculty of Humanities Value Tuition fees - to the maximum
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with the strategic interests in developing ultra-efficient turbofans along with advancing propulsion integration and aerodynamic technologies. This project will help to de-risking the design of coupled
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outcomes analysis will include determining the impact of patient factors (social class, gender, co-morbidities), healthcare provider factors (site, geographical location, GP practice) and AI technology
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stewardship (reduced antibiotic use). Core supervisors to the PhD will be Professor Tricia McKeever1 , Professor Charlotte Bolton2 , Professor Wei Shen Lim3 and Dr Manpreet Bains4 1 Epidemiology and Medical