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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
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, Cryobiology How to apply: https://uom.link/pgr-apply-fap This 3.5 year PhD is fully funded for home students. Tuition fees will be paid and a tax free annual stipend will be paid. The stipend is set at the UKRI
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dissertation supervision. For this T&S role, you must have a PhD in a relevant subject (or a PhD near completion – i.e. strictly within three months of submission), and a strong scholarly profile or trajectory
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modelling aspects, it is expected that they will co-design appropriate experiments and support data collection activities. The student will be fully supported in this interdisciplinary environment with
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This is a fully funded project for home students, funded by NTR-Net. The funding will cover tuition fees and provide a tax free (depending on circumstances) stipend based on the UKVI rate (£19, 237 for 2024/25). This funding is available for home, EU students. Identifying materials within sealed...
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programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you should insert the name
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The project: Motivation The development of hydrogen energy technologies is central to the UK government's ten-point plan for a green industrial revolution, targeting a 40% reduction in gas
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Research Office Location: Newport, Shropshire TF10 8NB Post Type: Full Time Contract Type: Fixed Term - 36 Months Closing Date: 23.59 hours BST on Sunday 20 July 2025 Reference: PHD-SELF-OCT-2025
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Research theme: Dynamics How many positions: 1 This 4 year PhD project is open to home students. The successful applicant will be awarded a tax free annual stipend set at the UKRI rate (£19,237 for
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environments, highlighting potential cross-disciplinary synergies. The outcomes will enhance the security, dependability and trustworthiness of AI applications. The project will be conducted in collaboration