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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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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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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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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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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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understood. Furthermore, there is currently a lack of empirical evidence regarding how the biological events that underpin gender transition in SkM may induce a competitive physical advantage or potentially
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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
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. However, only patients with good physical fitness are candidates for systemic therapy, and even among those patients, only a minority (25-30%) benefit from it. Therefore, we need to find better treatment
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Porter Laser Laboratory at Sheffield, where the compounds will be studied prior to X-ray studies at Diamond. The antibacterial tests will be conducted by our collaborators in the Medical School