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2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. This project is open to UK students or EU students with settled status.
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, biology or engineering related discipline. To apply, please contact the main supervisor: Prof Jian Lu - J.Lu@manchester.ac.uk . Please include details of your current level of study, academic background and
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a highly motivated candidate with: A first-class or upper second-class degree (or equivalent) in Materials Science, Chemistry, Physics, Chemical Engineering, or a related discipline. Experience in
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic
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of objects relevant to AWE’s mission. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related