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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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are seeking an outstanding candidate for a Lecturer position in Mathematical foundations and applications of Artificial Intelligence and Machine Learning within the School of Mathematical Sciences
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are seeking an outstanding candidate for a Lectureship in broadly interpreted Optimisation for Machine Learning and AI within the School of Mathematical Sciences at the University of Southampton. The School
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. We welcome applications from individuals who wish to innovate research and teaching in mental health with specific expertise on machine learning and artificial intelligence methods. You will hold a
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with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and
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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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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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with geotechnical engineering experience, geophysical data analysis and machine learning skills. The Research Fellow in Intelligent & Resilient Ocean Engineering – Geoscience will join a large community
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bioinformatics, epidemiology, systems biology, large-scale ‘Omics data analysis, human centric artificial intelligence, machine learning or large data management. We are seeking candidates whose expertise spans
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welcome applications from scholars working to tackle largescale, globally relevant problems, using advanced computational methods (e.g. big data/machine learning/artificial intelligence/modelling/remote