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The retention of oil/organic wastes in low carbon cementitious wasteforms for radioactive waste disposal School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded
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Machine Learning Methods for Autonomous Robot Navigation, Localisation and Pipe Inspection School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova
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molecular cell biology, infection, proteomic and immunological approaches. By challenging cultured human cells with Salmonella Typhi in a containment level 3 laboratory, the project will replicate infection
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Early-stage failure prediction in fusion materials using machine learning
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Digital Humanities Institute (DHI) Established in 1994, the DHI’s mission is to support the innovative use of technology and computation within arts, humanities and heritage research as both a method of
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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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. 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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). • 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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-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