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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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by Manchester United FC. This approach to real-time imaging will be integrated into an AI imaging analytics package to promote automatic injury detection and aid player diagnosis by the partner medical
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of Engineering and Physical Sciences, next page select “PhD Elect & Elect Eng (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Hywel Morgan Applications should
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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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is an exciting opportunity to also investigate the different stress-related implications of digital decarbonisation and explore the impacts on physical and mental health across a wide-range of
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to the EPSRC & BBSRC funded project “Developing a Circular Economy for Medical Testing Plastics” (EP/Y004027/1) and is closely aligned to a work package that seeks to enhance biodegradation rates in leading
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AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image
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uses for existing approved drugs to inhibit the ageing process in mammals. The current project is to use a combination of molecular techniques, in vitro culture systems and studies in rodents to build
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involved in the process before it can be taken to industry. This PhD project will develop new understanding on the Joule bonding and debonding processes of such conductive epoxy nanocomposites used as self
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“interrupted” tests whereby the process is paused or slowed to allow information to be collected at a series of discrete time or load steps. This results in an estimated interpolation of events between capture