264 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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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/writing-your-application.aspx Hours of work are full-time
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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your application. Please see our Libraries Customer Service Adviser Recruitment video at https://mediaspace.nottingham.ac.uk/media/t/1_jdj4s55c To understand our recruitment process (including some handy
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your application. Please see our Libraries Customer Service Adviser Recruitment video at https://mediaspace.nottingham.ac.uk/media/t/1_jdj4s55c To understand our recruitment process (including some handy
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your application. Please see our Libraries Customer Service Adviser Recruitment video at https://mediaspace.nottingham.ac.uk/media/t/1_jdj4s55c To understand our recruitment process (including some handy
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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-guidance
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. Gordon Airey , Dr Anand Sreeram , Dr Nick Thom , Dr Richard Taylor Programme Length: Four years Contract Type: full time Prospective Start Date: Academic year: 2026/27 Key words: biogenic supply chains
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches
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(School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall
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Centre of Excellence. This is a unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer