144 parallel-and-distributed-computing positions at University of Nottingham in United Kingdom
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you will be trained in the latest state of the art techniques to improve health and well-being. You will be supported to develop an individual innovative and novel research programme leading to peer
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industry recognised qualifications. Personal and Career Development support, and opportunities for career progression. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts
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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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. An excellent holiday allowance of 27 days pro rata, plus additional university closure days and bank holidays Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and
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responsibilities include: To take the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. To
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to recover them is painstaking. A quarter of a century ago, research was undertaken to see if computers might help (Terras 2006 Image to Interpretation: An Intelligent System to Aid Historians in Reading
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We are now recruiting 2 full time Research Fellows to work with Stephen Farrall and colleagues at Warwick (Emily Gray) and Queen Mary College, University of London (Maria Grasso) on their research into politics and crime. The research is funded by the Leverhulme Trust. The School and the...
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Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt
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As part of our annual Faculty’s Apprenticeship Training Program, we have an exciting opportunity in the Faculty of Engineering to join the government’s level 4 Advanced Apprenticeship Scheme
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entitled “White Matter Computation: Utilising axonal delays to sculpt network attractors”. The central aim of the project is to determine how dynamic patterns of neural activity evolve in a complex network