327 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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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 for Engineering PGRs
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fixed-term period. This key role will help deliver our comprehensive privacy enhancement programme as we modernise our privacy management framework in response to evolving legislative requirements
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in a relevant subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging
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(particularly cognitive or applied psychology) Cognitive Science Human–Computer Interaction Engineering or Computer Science Health sciences Experience in empirical research, experimental design, data analysis
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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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, Computer Science and the Biosciences. You will be supervised by Amanda Wright (Optics and Photonics Research Group, Faculty of Engineering), Mike Somekh (Optics and Photonics Research Group, Faculty
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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campus. Informal enquiries may be addressed to Stuart Marriott, Associate Director, Careers and Employability Service, via stuart.marriott@nottingham.ac.uk . Please note that applications sent directly to
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engineering excellence needed for the aerospace sector. In this PhD, high-fidelity two-phase Computational Fluid Dynamics (CFD) methods will be used to model complex and fundamental cryogenic hydrogen flows