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Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr Brant...
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Overview Data Connect, a service within the University's Research and Innovation IT team, is seeking an enthusiastic Data Scientist to contribute to the development and delivery of multiple health data assets. Data Connect works closely with stakeholders across the South Yorkshire region...
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High-speed astrophysics with ULTRACAM and HiPERCAM
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will join the delivery team and will be responsible for the workshop-based training delivery of the Engineering Levels 3 through to 6 of the apprenticeship programme. You will also be responsible
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). • Eligibility: First degree and Masters in one of engineering and computing fields • Standard departmental requirements: First Class • Experience in physical modelling and machine learning, interest in medical
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A Machine Learning Enabled Physical Layer for 6G Radio Systems
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, assessment, and student support to enable effective learning Contribute to the development of programme modules that are accessible, inclusive and contribute to the University’s Teaching and Learning Strategy
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-breathing lung MRI. Image computing support for pulmonary MRI applications. Support the development of a prototype neonatal pod for lung MRI, in collaboration with industrial partner, Contribute
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. Experience required: 1st or 2:1 degree in Engineering, Physics or other relevant discipline. Experience in computational modelling would be a benefit. Funding Notes This is a self funded project. View
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the validity of the relevant literature and its contribution to the development of own field. Determine novel research objectives as experiments progress and initiate and implement relevant programme of research