261 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Nottingham
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Applicants are required to formally apply online via our on-line application system before 23:59 (Beijing Time) 31 October 2025 at: (https://jobs.nottingham.edu.cn/job/184343/ ) for the position. Only on-line
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Excellent staff benefits – including Employee Assistance Programme, supplier discounts, travel schemes, and access to state-of-the-art sports facilities Supportive environment – join a professional, friendly
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for these posts. Please click here to view more information for Sutton Bonington Campus: https://www.nottingham.ac.uk/about/campuses/suttonboningtoncampus.aspx What’s in it for you? Ongoing support to develop your
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your answers to reflect the role requirements in the role profile. Refer to our candidate guidance on writing an application and the use of AI: https://www.nottingham.ac.uk/jobs/candidate-guidance
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you tailor your answers to reflect the role requirements in the role profile Refer to our candidate guidance on writing an application and the use of AI: https://www.nottingham.ac.uk/jobs/candidate
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an application and the use of AI: https://www.nottingham.ac.uk/jobs/candidate-guidance/writing-your-application.aspx Hours of work are full-time (36.25 hours per week). However, applications are also welcome from
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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Discover your career The world of the University of Nottingham is defined by our people and the values we share. Our environment is an ambitious vision brought to life across vibrant and forward-thinking global campuses. An ever changing world where open minds and diverse cultures are able to...
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Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University