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collaborative programme of research funded by the Aerospace Technology Institute (ATI) with several Industry partners, including Airbus, GKN and Renishaw. Critical for the implementation of additive manufacturing
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) – semester abroad for an Integrated Master’s programme in Computational Science. The module is structured in two parts Linear Programming, covering model formulation, the graphical solution method, the simplex
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum
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have extensive knowledge of exact and metaheuristic algorithms for complex combinatorial problems. Have computer programming skills in at least one of these computer programming languages C++/Java/Python
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publications is a plus. Experience in designing, developing, and implementing computer vision models and algorithms. Proficiency in Python and its standard coding practices and common libraries. Experience with
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community. Key Requirements Bachelor’s degree in Computer Science, Mathematics or related discipline or equivalent working experience. MSc or higher degree in Computer Science, AI, Data Science, or equivalent
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transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
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to apply it in selected poor-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging
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Salary on appointment will be £38,249 per annum, with an annual increment up to £45,413 per annum. An exciting opportunity has arisen for a Senior Research Associate to join the School of Computing
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KTP Associate in Machine Learning ( Job Number: 25000811) Department of Computer Science Grade 7: - £39,105 - £43,878 per annum Fixed Term - Full Time Contract Duration: 30 months Contracted Hours