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real impact. Essential and Desirable Student background Criteria Background: Engineering ideally with material science Essential knowledge - skills – experience: analytical skills, ability to demonstrate
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. The engineering challenges are to provide users with the controls they would like to have in order to adjust the behaviour of their audio system, for example, boosting the bass response interacting with the room
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Honours or 2:1 bachelors or masters degree in Computer Science, Mathematics, Engineering or related areas. Experience and/or a high interest in cyber security, AI and ML is a strong requirement. We welcome
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the Defence & Security sector. Entry Requirements This PhD studentship requires UK Citizenship. First Honours or 2:1 bachelors or masters degree in Computer Science, Mathematics, Engineering or related areas
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, Engineering, Computer Science or relevant discipline Funding and Eligibility Available to eligible home fees students. Key Information Supervisors: Alok Choudhary, Sube Singh
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background (e.g., mathematics, computer science, electronical engineering, physics, statistics, economics). Closing date : 31st July 2024. Funding: Full-time studentships will cover UK course fees and an
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engineering discipline (e.g. materials, chemistry, chemical engineering, physics) or equivalent. The updated rules for eligibility for home fees for next year are available at View Website . Open to UK
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of whole-body and tissue-organ composition and energy expenditure with physiological and psychological measures of appetite, and free-living energy balance tracking technology is used to measure energy
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significantly to the academic body of knowledge on sustainable supply chain management. Essential and Desirable Criteria A 2:1 Bachelors or a Masters Degree in Business, Engineering, Computer Science or relevant
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requirements for our PhD programme . All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average