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funded project aimed at enhancing medical diagnostics through the application of machine learning and artificial intelligence. In this capacity, you will lead the development of algorithms to improve
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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, alongside a collaborative approach. Prior experience in computational modelling, the application of machine learning, and development of precise optical experiments and instrumentation will be advantageous
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research (machine learning, multi-agent systems, causal AI, optimisation), along with participation in a range of multidisciplinary research projects that will not only include developing AI systems for good
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image processing, biometrics, security, machine learning or a related discipline, and the ability to write for publications, present research proposals and results to non-scientific audiences