483 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" PhD scholarships in United Kingdom
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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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wide range of social science methods. Key commercial sectors include (but are not limited to) data centres and high-tech industries, as well as food and beverage production. This project is a
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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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usability and accuracy, as well as conducting field tests to validate their effectiveness. Additionally, the research will explore the economic viability of these sensors to enhance real-time data collection
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for ‘Course Title’ using programme code: 8050F Research Area: Computing Science select ‘PhD Computer Science’ as programme of study You need to provide the following information in ‘Further Questions’ section
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select ‘PhD Computer Science’ as programme of study You need to provide the following information in ‘Further Questions’ section: ‘Personal Statement’ (mandatory) - upload document or write statement
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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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) 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