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require metrics that predict how well a given hearing aid algorithm will perform for a specific user in a particular acoustic environment. Existing approaches often rely on oversimplified assumptions about
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the areas of Data Science and Informatics as defined by the Bayes Centre and Huawei. Strong background and expertise in LLMs, edge systems, deep learning algorithms and computer systems. Experience and
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are critical especially around congested or critical infrastructures. This research aims to develop decision making and planning algorithms that can mitigate the risks challenging environments of AAM
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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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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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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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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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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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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