308 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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supported by the Enhanced Composite and Structures Centre at Cranfield. About the sponsor We will work in collaboration with Cambridge Nanosystems, which is a world leading high quality, high performance
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to structural design models to quantify the potential impact on key drivers of offshore wind farm economics. Specifically the impact of advanced wake models on wind farm energy yield forecasts, hence revenue, and
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of Medicine, which is internationally recognised for its work in cardiovascular science, thrombosis, fibrin clot structure and inflammation. The project will be based in the Leeds Institute of Cardiovascular
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of Medicine, which is internationally recognised for its work in cardiovascular science, thrombosis, fibrin clot structure and inflammation. The project will be based in the Leeds Institute of Cardiovascular
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, and data-intensive processing, with real-world applications across aerospace, energy, and infrastructure. Aim This project will pioneer the first-generation structured light projection robotic system
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. Current XAI methods are often generic and overlook industrial realities. This project will embed user-centric explanations directly into machine learning workflows using structured, ontology-driven
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high-profile, funded innovation project delivering real business impact. Receive structured supervision, mentoring, and formal training from both the business partner and university. Develop skills
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structure, stage-structured demography and density dependence, road-crossing mortality, and climate–hydrology drivers to predict population trajectories and evaluate mitigation scenarios. This PhD will equip
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temporal structure and missing data affect multimodal learning Identifying fundamental trade-offs between accuracy, efficiency, and robustness. The project emphasises foundational machine learning research
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of flexible trailing edge with both hydrodynamics and acoustics. The simulation results will be analyzed and compared with analytical models, and then inform a refined low-order taking flow-structure-acoustics