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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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innovative Learning Designer (Inclusive Curriculum) for a fixed term post until 31st July 2029 to support us to transform learning champion inclusion and accessibility and ensure we are delivering excellence
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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
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Reference: 0181-26 Senior Research Associate in Machine Learning for Speech Processing Department: Phonetics Laboratory / Linguistics and English Language Contract: Full-time (1.0 FTE), fixed-term [18 months