524 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in United Kingdom
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at the College of Optometrists offices in London, with access to their Library and Information Services (including the physical specialist and historic library collections) and to the College’s museum and archives
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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how large language models can generate goal-oriented robotic programs from natural language task descriptions and contextual information. Developing agentic AI architectures that allow robots to plan
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strategy to improve the turbulence detection and quantification. The flow turbulence and velocity in a vascular flow phantom will be measured by Particle Image Velocimetry (PIV), against which MRI data will
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support a more controlled, data-informed manufacturing environment and improve structural performance across the full lifecycle of high-value engineered components. Aim The student will have opportunities
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. They include e.g. research and specialist skills training, communication skills, personal effectiveness, wellbeing training, impact and engagement, data and analysis and career planning. You will formally
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in advanced experimental techniques, data analysis, and interdisciplinary problem solving at the interface of physics, materials science, and device-relevant functionality. Outcomes will include high
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qualification). Further information Informal enquiries to Dr Beth H. Richardson (bhrichardson@lancashire.ac.uk ) For full details: Apply here: online application system . Quote reference NWSSDTP CASE Studentship
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(Honours) 2:1. English Language requirement (MED/SCI equivalent: IELTS 6.5 overall, 6 in each category). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is
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) 2:1. English Language requirement (MED/SCI equivalent: IELTS 6.5 overall, 6 in each category). Mode of study Full-time Start date 1 October 2026 Additional Funding Information This project is awarded