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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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technical skills. Prior experience with medical imaging data and Python coding is required. If you are interested about this position, please click 'apply now' and submit you application. In case you have any
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Deadline: 11:59pm, 30th November 2025 Host University: University of Nottingham School/department: Engineering Start date: Wednesday 1st April 2026 Funding offer: Tuition fees covered in full (worth
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addressing the behaviour of thin foil materials for aerospace forming applications. The successful candidate will have a first-class or upper second-class honours degree in mechanical engineering or a related
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energy, nanotechnology and applied materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered
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materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered depending on the bachelor's/master's
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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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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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience