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ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research
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oral health and healthcare. The role will report to Professor Ali Darendeliler . The Lecturer will make significant contribution to teaching and learning practice, design and evaluation within our
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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, occupational therapy, dietetics) or an equivalent combination of training and experience. current registration or equivalent in a health discipline proven experience in clinical teaching and learning deep and