583 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at University of Sheffield
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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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EngD: Physics-based AI for Intelligent Machining: Learning, Optimisation, and Uncertainty in Next-Generation CAM Software (sponsored by DigitalCNC) EPSRC Centre for Doctoral Training in Machining
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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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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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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://greenindustrialfutures.site.hw.ac.uk/ CDT in Green Industrial Futures The CDT is funded by the UK Engineering and Physical Sciences Research Council and is a partnership between Heriot Watt University, Imperial College London, and the
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The CDT is funded by the UK Engineering and Physical Sciences Research Council and is a partnership between Heriot Watt University, Imperial College London, and the Universities of Sheffield and Bath
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances School of Chemical, Materials and Biological Engineering
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PhD at the Forefront of Computational Solid Mechanics and Machine Learning School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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://greenindustrialfutures.site.hw.ac.uk/ CDT in Green Industrial Futures The CDT is funded by the UK Engineering and Physical Sciences Research Council and is a partnership between Heriot Watt University, Imperial College London, and the