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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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Research theme: Fluid Mechanics, Machine Learning, Ocean Waves, Ocean Environment, Renewable Energy, Nonlinear Systems How to apply: How many positions: 1 Funding will cover UK tuition fees and tax
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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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this research is that it should be possible to significantly improve the performance of extreme learning and assure safe and reliable maintenance operation by integrating this prior knowledge into the learning
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, please visit our website at www.cruk.cam.ac.uk/research-groups/aliee-group In the Aliee lab, we aim to address some fundamental questions in biomedicine through advancing machine learning. We develop
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Samuelson and her team on a longitudinal study examining children’s performance on multiple word learning tasks at 18-, 24- and 36-months-of age, as well as their vocabulary growth. There will be
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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., RGB-D, thermal, LiDAR, tactile), universal perception frameworks (e.g., Vision-Language-Action (VLA) models, Transfer Learning, self-supervised learning) that generalise across tasks and scenarios in
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Interventional Procedures. Research methodology The unified model will leverage 50,000 patient scans from the UK Biobank imaging database, using a semi-supervised learning strategy to learn the orientation