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including propulsion motors, power converters, fuel cell and batteries etc within the real-time simulation platform. Training the development digital-twin using real-time data from hardware available
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-imaging modalities, such that molecular specific information can be obtained from microscopic biological samples and maps of cancer can be made. The probe will enable precise navigation into the body
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-5L data from a cohort of patients to determine the impact of community acquired pneumonia that requires hospitalisation on the quality of life of patients. Data will be collected at baseline, three
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PhD Studentship: A continual learning approach for the development of robust robotic control systems
. AI is expected to be at the centre of these systems, being the foundation of computer vision, monitoring, and control solutions. Despite the promising results that AI (and especially Deep Learning) has
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. The student will also gain experience in using ultra-high vacuum apparatus, data processing and scientific programming, as well as training in more general skills such as scientific communication, project
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Movements in Health & Disease using MRI imaging and Computer Vision Novel self-oxygenating and cell-instructive materials for chronic wound healing Requirements Applications are invited from students with
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+ algorithms/AI for optical imaging, and clinical translation (more at www.georgesdgordon.com). You will be supported by colleagues with strong skills in building optical systems, coding and data analytics
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submit your application via the My Nottingham platform without having contacted our team first. Please contact the UTC Mechatronics Lead, Dr Abdelkhalick Mohammad, for further information. Email
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application. Do not submit your application via the My Nottingham platform without having contacted our team first. Please contact Dr Xin Dong, for further information. Email: Xin.Dong@nottingham.ac.uk Due
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Nottingham platform without having contacted our team first. Please contact the Rolls-Royce UTC director for further information. UTC Director: Prof. Dragos Axinte Email: dragos.axinte@nottingham.ac.uk Due