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PhD studentship: Teaching Intelligent Agents to See, Think and Act with Vision and Language Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI
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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview How can we revolutionise intelligent systems that still rely on fixed rules and structured commands? For example, if asked to...
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that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become
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-grade experience that employers value. The journey You'll develop machine-readable privacy rules, build core functionalities that audit and explain data-sharing decisions, prototype agent systems showing
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, what changes are made (e.g., labelling), and how it is used (e.g., which models train on it, which versions, for what purpose). Middleware solutions: In this topic, we will explore middleware solutions
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Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and testing potential drug candidates in high-throughput. One of the barriers
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will be provided. Overview The project aims to develop a new approach to drug discovery by developing new methods for synthesising and
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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and optimization but lack frameworks to continuously verify AI safety in operational contexts. This project aims to develop a dynamic validation framework for AI systems using high-fidelity digital