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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate engineering or science degree level qualification and a PhD (or be about to obtain a PhD
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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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flow in hybrid systems: improving the simulation of engineering structures”. As part of the project - jointly undertaken by the University of Nottingham and the University of Salford -, we offer a
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An exciting opportunity has arisen for a Research Associate/ Fellow to join the Cyber-physical Health and Assistive Robotics Technologies in the School of Computer Science to work on a project led
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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate social science degree level qualification and a PhD (or be about to obtain a PhD, which
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We are developing groundbreaking robotics technology to extend robotic surgery to previously inaccessible parts of the complex industrial structures such aeroengine, enabling repair and inspection
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The Mechanical and Aerospace Systems Research Group (MAS) requires a Senior Research Fellow who is experienced in the fields of solid mechanics and stress analysis to work across several industry relevant projects and for the development of future group research strategy. MAS has a large...
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Facility at the University of Nottingham. The Facility is operated jointly by the Schools of Chemistry, Life Sciences, and Physics and Astronomy and comprises a 600 MHz DNP MAS NMR spectrometer equipped with
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Applications are invited for the position of Senior Research Fellow/Research Fellow to contribute to an NIHR Programme grant study at the University of Nottingham. The successful candidate will work
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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