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beyond this salary range is subject to performance. The University of Nottingham is a pioneering institution providing an exceptional research-led education and an outstanding experience for 46,000
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engagement, managing change, performance, culture, and organisational leadership. About the team- The OD team is dedicated to helping UoN achieve its ambitions, and be a positive, inclusive and high-performing
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team. You would be part of our friendly and high-performing Administrative, Professional and Managerial (APM) team, providing a high level of administrative support to our Here For You Personal Tutoring
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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- The OD team is dedicated to helping UoN achieve its ambitions, and be a positive, inclusive and high-performing workplace. We offer diagnostics, facilitation, expert advice and tailored guidance to support
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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and
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. You will lead a high-performing, multidisciplinary team and working collaboratively across the University to deliver strategic priorities. As an impactful leader, you will: • Lead an integrated
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are invited for a fully funded Industrial Doctoral Landscape Award in partnership with Siemens Digital Industry Software, focused on advancing the next generation of industrial Computational Fluid Dynamics (CFD
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from AI data centres and high-performance computing. The appointed Research Associate/Fellow will conduct computational studies of electronic transport and quantum phenomena in 2D semiconductor materials
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe