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Interview Motivated in learning new methodologies and applying new knowledge Essential Interview Knowledge of the approximate Bayesian machine learning (e.g. MCMC) (assessed at: Application form/Interview
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to AI, including deep reinforcement learning, human-in-the-loop machine learning, and multi-agent systems. Dr. Robert Loftin is a Lecturer in Machine Learning at the University of Sheffield. He received
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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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Machine Learning Approaches. You will have access to the excellent training opportunities at the University of Sheffield, and will spend time on site at Procter and Gamble. A range of highly desirable
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science, computer vision, medical/image analysis is essential. Experience of research (or interest in) in one or more of the following: deep learning; big data management; computational pathology; medical imaging
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and techniques. In addition, you will combine study and work-based learning to achieve the National Apprenticeship Standard - Laboratory Technician Level 3, which will span the full two years of your
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Early-stage failure prediction in fusion materials using machine learning
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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep
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). Modelling tools used will vary according to application but are likely to including process simulation using Population Balance Modelling, DEM simulations and Machine Learning Approaches. Main duties and
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A Machine Learning Enabled Physical Layer for 6G Radio Systems