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programmes of research, working with synthetic chemists to test our machine learning systems against challenging real world examples. The role holder will lead on a programme of computation and experimental
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symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner
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symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner
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About the role This project will develop new machine learning techniques to enable efficient production of bespoke products, such as medicines in a high-volume, high-variation manufacturing setting
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About the role This project will develop new machine learning techniques to enable efficient production of bespoke products, such as medicines in a high-volume, high-variation manufacturing setting
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specialised expertise in the Machine Learning for Engineering sub-theme. Candidates from all areas in machine learning are encouraged to apply, with a special focus on the areas of (i) information theory and
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knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
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The Department of Statistics is recruiting to a Florence Nightingale Bicentenary Fellow in Statistical Machine Learning. This is career development positions intended to carry around half the
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Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Will Jacobs, Dr Andy Mills