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difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
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the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
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will have an opportunity to make an impactful contribution to a high performing team. In this varied role you will be part of a small team, working flexibly across a range of processes and activities
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their potential to produce a new generation of ultra-high performance artificial intelligent devices that has ignited researchers’ interest in these remarkable devices. The aim of this position is to
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-class research and inspirational teaching and offers exciting opportunities for our students to work closely with many high performing companies. These strong links with industrial partners can be seen in
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, projects, and proposals either as an individual or as part of a broader programme. To establish a national reputation and regularly disseminate and explain research findings through leading peer-reviewed
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embedding emerging technologies, including AI, automation, immersive learning, and advanced analytics to enhance education, research and operations Oversee secure, resilient and high-performing digital and IT
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PhD programme. We have a diverse international faculty of 111, based in Ningbo China, coming from 18 countries and regions. English is the medium of instruction of all our programmes. We have
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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 the Postgraduate Taught (PGT) Here
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programme and develop high teaching standards in the Department of Chemical and Environmental Engineering. The person appointed will also be expected to conduct ongoing original research for publication and