3,955 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in United Kingdom
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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
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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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). 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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computer-based tools. To complete in-house MRI safety and operator training, then acquire structural and functional magnetic resonance imaging data on participants using a 3T MRI Scanner To complete in-house
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for the provision of a wide range of end-user and customer facing technology services, ranging from: student record management; curriculum & learning, IWMS, integration services; AI; identity and access management
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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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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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phenomena and impulsive events in the solar atmosphere. Our approach includes the implementation of machine learning models for multiline full-Stokes inversions. About the person: The successful candidate
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treatment window may already have passed. Project Aim: This project proposes the development of an innovative approach that applies computer vision and machine learning to detect early signs of stroke through
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designed to support machine learning workflows. Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems applied in some specialised domain, ideally with experience of local model