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Adaptive Learning in Brain-Robot Interactions
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to network and collaborate, offering opportunities to learn and develop, contributing to the delivery of the University’s objectives, and helping everyone to understand the broader context within which we work
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climate change, public health, or social inequality. Supervised by Dr Zhu and Dr Lo, the successful candidate will develop spatially explicit machine learning frameworks and interdisciplinary knowledge
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on an NIHR funded research project - Digital support for siblings of children with learning disabilities: Feasibility Randomised Controlled Trial of the serious game ‘Broodles’. This project examines
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-edge projects in chemical biology and drug discovery and will underpin the development of state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models with collaborators. You will
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). This role will primarily support the Professor of Clinical Machine Learning, Professor David Clifton, as well as other academic members of the group. The position is permanent and full-time, although
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About the role The University of Leicester is dedicated to delivering an exceptional student experience. Recognising our diverse student community, we are seeking a Specific Learning Differences
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to work with Bath colleagues engaged in energy research across the University, including advanced mathematics, statistics, and computer sciences Further information This role is offered on a full time (36.5
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in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, Robotics or closely related field Strong background in embedded systems, robotics, and related software
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in a team. An understanding of a range of computer systems, including Windows and Networking, would be beneficial. This role would suit someone who is already working in IT, and it would be beneficial