233 computing-"https:" "https:" "https:" "BioData" "BioData" "BioData" "BioData" "BioData" positions at University of Nottingham
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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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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The School of Computer Science are seeking an organised, creative and enthusiastic team member to join our
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The University Of Nottingham Sport is currently undergoing an ambitious change and investment programme to further support our vision to deliver an outstanding student sporting offer and establish
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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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 metabolomics and novel
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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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programme in the field of political science with a focus on quantitative methods. The role holder will conduct original research, resulting in publications in internationally recognised peer reviewed journals
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). What we offer: - Excellent holiday allowance of 27 days (pro rota), plus additional university closure days and bank holidays. - Employee Assistance Programme/Counselling Service- 24/7 support. - Uniform
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their programme. Development of Apprenticeship provision is of strategic importance to the University and we have a comprehensive suite of programmes across our Faculties. We partner with a range of organisations
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through