146 postdoc-parallel-computing positions at University of Nottingham in United Kingdom
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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed
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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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. 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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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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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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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface 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