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wide range of programmes across the business disciplines. Initially, you will work alongside other Programme Leaders to support and lead the Business Management programme, ensuring an outstanding student
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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About the role: We are currently recruiting for MSc Programme Administrator, based within the Education Office, in the Department of Mathematics. This is an exciting opportunity to join a
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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
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on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computer science, as well as engineering, forensic science, mathematics, physics and sport
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Location: London - Holborn, Fitzrovia, Southall, Wembley and Kingsbury Start date: April 7th 2026 Role Overview We are seeking an experienced and inspirational academic leader to support the Dean of School in leading and developing the Health and Sports Science discipline within the School of...
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Parks Road, Oxford, OX1 3PJ We are seeking a full-time Postdoctoral Research Assistant in Computational Mechanics to join the Brassart Research Group at the Department of Engineering Science
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Are you interested in developing interpretable AI models for the next generation of green syntheses? Do you have experience in AI/Machine Learning, or computational modelling of organic reactions
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University of Roehampton. The Programme Leader (PL) provides academic and operational leadership for the Roehampton franchised Business programmes delivered at the Greenwich Campus. The postholder ensures high
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Overview This is a fixed-term post designed to provide computational support to the development of the open-source software pipeline TopoStats, and to wider research using Atomic Force Microscopy