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testing strategies. About you The successful candidate will have: A Masterʼs degree and/or Bachelor’s degree in epidemiology, public health, health data science, health informatics, health economics
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personal interest in experimental aerodynamics/aeroacoustics and environmentally sustainable technology is highly valued. Skills in data analysis and flow physics interpretation are essential. Ability
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from the Defence Science and Technology Laboratory (Dstl). Award value The Studentship covers: Stipend: at UKRI rate + London Weighting (£22,780 for 2025/26 academic year) Tuition fees: UK Home Fees for
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to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine
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an appropriate subject (including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement
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Requirements We will only consider candidates with a good Bachelor’s degree (ideally, a first, minimum 2:1) and/or a master’s degree in computer science, data analytics, health economics, or computational
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, surgery planning with patient data for surgeons, real-time remote guidance for maintenance in industrial plants, and iterative design simulation for architecture and engineering. However, its wide adoption
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Culture), Dr Ludivine Broch (Senior Lecturer in History), and Professor Pippa Catterall (Professor of History and Policy). At IWM by James Taylor (Principal Curator, Public History). The student will be
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
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information on its research projects, research staff and students and latest news is available at: Centre for Sustainability and Responsible Management | University of Roehampton, London. Successful applicants