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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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High-quality clinical care and research relies on patients sharing their feelings, experiences, and symptoms. The medical community's growing emphasis on Patient-Reported Outcomes Measures (PROMs
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr. George Gordon and Dr. Abdelkhalick Mohammad (Faculty of Engineering) Start date: September 2024 Duration: 3.5 years
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Supervisory Team: Hywel Morgan, Dan Spencer and Franklin Nobrega (Biological Sciences) PhD Supervisor: Hywel Morgan Project description: Antimicrobial resistance is predicted to become a primary
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) materials manufacturing at the interface between science frontiers and technological and medical applications. The project will suit an excellent student who enjoys design, practical experimental work
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operational parameters, and understanding the impact of water chemistry on virus disinfection efficacy. The research will provide a comprehensive assessment of current disinfection practices, particularly in
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sequentially. Discovering how to leverage this will open new opportunities in manufacturing: structural and medical components with mechanical and chemical properties that vary across dimensions, fully 3D
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, rather than sequentially. Discovering how to leverage this will open new opportunities in manufacturing: structural and medical components with mechanical and chemical properties that vary across
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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an excellent research environment provided by Norwich Medical School and the School of Biological Sciences, and surrounding Norwich Research Park. They will also gain valuable experience through