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resources provided by the Centre for Vision, Speech and Signal Processing CVSSP at the University of Surrey and from collaboration with the Foreign, Commonwealth and Development Office (FCDO) and the National
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-driven approaches, and in collaboration with the SEISMIC facility at the University of Surrey. The project is organised as a series of three studies, each of which will lead to a research publication
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in written and oral presentations. Postgraduate activities within the University of Surrey and within the London Genetics Network will also be available to them. The first supervisor, Professor Ronald
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Institute in Guildford (University of Surrey) relevant to the project will be available to the successful candidate. The student will gain a wide range of transferable skills through the University
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equivalent qualifications in a relevant subject area such as physics, chemistry, materials science or engineering. A Master’s degree in a relevant discipline and additional research experience would be
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in written and oral presentations. Postgraduate activities within the University of Surrey and within the London Genetics Network will also be available to them. The first supervisor, Professor Ronald
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Guildford, the project forms a collaboration between AudioLabs, Fraunhofer IIS (Erlangen, Germany) and CVSSP at the University of Surrey. It builds on work by the co-investigators into virtual acoustics
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once deadline passes. You will need to meet the minimum entry requirements for our Engineering Materials PhD programme. Candidates must meet Surrey graduate entry requirements which include holding
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an upper second-class degree or equivalent qualifications in a relevant subject area such as chemical engineering, computer science, mathematics or other engineering/science disciplines with significant
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brighter future for everyone. Our Institute brings together Surrey’s core AI-related expertise in vision, speech and signal processing, computer science, and mathematics, with its domain expertise across