368 data-"https:"-"https:"-"https:"-"https:"-"https:"-"RMIT-University" 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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due to a lack of resource. With some water-hungry sectors (such as data centres and other high-tech industries) prioritised for significant growth in water stressed regions, these challenges are set to
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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
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be used as an alternative. This project will evaluate several ideas to make these materials sustainably and generate data to confirm the processes have the potential to be greener than the current