151 postdoc-parallel-computing positions at University of Nottingham in United Kingdom
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About the role The role-holder will work dynamically within the Rights Lab’s Business and Economies programme on externally-funded research projects that focus on analysing human rights and modern
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We seek to appoint a Postdoctoral Research Associate/Fellow to work in a vibrant and multidisciplinary project funded by the EPSRC Working with Centres Programme under the supervision of Dr Anabel
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plus additional university closure days and bank holidays Ongoing support to develop your skills, career and gain industry recognised qualifications Employee Assistance Programme and Counselling Service
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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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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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for a diverse range of entrepreneurship programmes, including Ingenuity Impact, Your Entrepreneurs Scheme (YES), the Ingenuity Lab and the Witty Entrepreneurial Scholarship Programme for the School’s
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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
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suitable for a hard-working researcher with an interest in respiratory infections. Essential skills: A BSc degree or equivalent ideally in a health related field, excellent computer literacy, good inter
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tackling foraging tasks, to work out which algorithm best explains how foragers decide to leave. You will have some experience in computational modelling of behaviour, such as decision-making models