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research will focus on contributing to the design of this network and verification of its performance, or specific aspects of it. It may involve, as one component of the research, developing the Claims
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met. For example, lane keep assist on automotive vehicles (whereby the vehicle ADAS system attempts to keep the vehicle within road markings through small corrective steering inputs) will immediately
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for the commercial side of human nutrition. Dr Tom Clifford is a Reader in Health and Exercise Nutrition. Tom’s main research expertise lies in the effects of dietary supplements on health, exercise
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will dynamically adjust turbine parameters such as yaw, pitch, and torque to maximize Annual Energy Production (AEP) while minimizing component stress. Additionally, a hybrid predictive maintenance model
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cultures—a powerful 3D ex vivo model—this project will dissect the mechanistic links between mTOR signalling, reactive glial phenotypes, and complement activation. The project will also incorporate human
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. The studentship is also closely related to our School of Engineering. Supervisory team: Dr Gregor C. Leckebusch (University of Birmingham), Professor of Meteorology and Climatology (UK Met Office Joint Chair
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
Christina Latsou 2nd Supervisors: Professor John Erkoyuncu , Dr Bernadin Namoano Entry requirements Applicants should hold a First or Upper Second Class UK Honours degree (or international equivalent) in a
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predictive model and conduct a sensitivity study to investigate the multiple factors on the performance of the flow meter. Funding The student will be in receipt of a stipend payment; the Research Council
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(including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space
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fewer moving parts such a structure has, the more reliable it will be. Materials such as carbon fibre composites that are thin enough to be folded or rolled up for storage, but still stiff enough to act