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to substantial healthcare savings. This studentship is ideal for candidates passionate about applying engineering innovation to address unmet clinical needs. During your PhD, you will gain
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select ‘PhD Mechanical Engineering (full time) You will then need to provide the following
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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partners across Europe allow a particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on Agentic Artificial Intelligence—the next
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sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please
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(Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply For information on how to apply, please click on the ‘Apply’ button
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are open to all PhD applicants who meet the entry criteria at the OU. Any PhD project under the AHRC subject areas – including those based outside of Faculty of Arts and Social Sciences – are eligible