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mission is to support the innovative use of technology and computation within arts, humanities and heritage research as both a method of inquiry and a means of dissemination. Digital culture is everywhere
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innovative use of technology and computation within arts, humanities and heritage research as both a method of inquiry and a means of dissemination. Digital culture is everywhere, and it is driven by cultural
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Early-stage failure prediction in fusion materials using machine learning
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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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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 our region including the South...
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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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qualitative coding of interview data. References Berkenkotter, C., Huckin, T. N. and Ackerman, J. (1988). Conventions, conversations, and the writer: Case study of a student in a rhetoric Ph.D. program
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Electroweak measurements with the ATLAS Experiment. School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr K Lohwasser, Dr C Anastopoulos Application Deadline
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Finding and measuring growing black holes in the next generation of astronomical surveys School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr J Mullaney, Dr S Littlefair
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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