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OF THE PROJECT Essential Criteria: A first-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline such as mathematics, computer science, AI, data science or statistics. Experience in
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. Open to both home and overseas students. Please note that only home fees will be covered - eligible overseas
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. Open to home and overseas students. Only home fees will be covered - eligible overseas students will need
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Do you want to work at the cutting edge of Aerospace manufacturing technology? Are you interested in Additive Manufacturing? Do you want to work as part of a cross-functional team making aircraft
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Do you want to work at the cutting edge of Aerospace manufacturing technology? Are you interested in Additive Manufacturing? Do you want to work as part of a cross-functional team making aircraft
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), Colworth Science Park, Bedfordshire, UK for training, mentoring and meetings within a multi-disciplinary team, including biology, toxicology, computer science among others. If you wish to discuss this
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, validate and monitor their selection judgements and how these judgements complement the data analytics provided by the data science department. This PhD will address a complex problem and therefore will need