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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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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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suitable for a hard-working researcher with an interest in respiratory infections. Essential skills: A BSc degree or equivalent ideally in a health related field, excellent computer literacy, good inter
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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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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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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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mapping of sites and X-ray Computed Tomography of soil samples. Full training will be given for all aspects of the work and strict health and safety protocols will be followed at all times. Keyword Search
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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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Fully Funded PhD Studentship (Home) in 4D Printing for Advanced Bioelectronics Contact: Supervisor: Dr Xiaolong Chen (Xiaolong.chen@nottingham.ac.uk) Faculty of Engineering, M3 Department, Advanced
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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