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is, in general, a challenging problem and one for which there is relatively little data, because experimental chemistry takes time and is expensive. Within our research group, we have a highly
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University Technology Centre (UTC) in Manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a 3-year PhD program in partnership with the UK Atomic Energy
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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology The growing field of soft robotics has unlocked new possibilities for robotic systems to navigate uncertain and
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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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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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should have a strong mathematical background, particularly in dynamical systems theory, and a keen interest in network science, and scientific computation. The student will gain invaluable experience
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At the Mixed Reality Laboratory, School of Computer Science, University of Nottingham Closing date: 28th March 2025, interviews will take place in April and May Department: Computer Science
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expertise in MRI, biomaterial characterization, computer vision, and machine learning with applications in biology, food science, and oral health. The research leverages cutting-edge resources from
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backgrounds in Bioscience, Biochemistry, Microbiology, Biotechnology, Chemistry, Chemical/Biochemical/Process Engineering, Environmental Science, Pharmacy, Computer Science, Maths or related disciplines who