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Field
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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involve experimental optimisation, leveraging computational tools, statistical modelling, and emerging AI/ML applications to streamline and accelerate the workflow for complex mixtures and metabolomics
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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. Unique experimental toolkit: This project is grounded in a strong cross-institutional collaboration, providing training across computational biology, structural biochemistry, and chemical biology. You will
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partnership. In YBDTP you'll benefit from a regional doctoral training programme that has interdisciplinary collaboration at its core. The aim is to enable you to develop a range of research skills in
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departments and research centres in the School of Policy and Global Affairs, offering potential for interdisciplinary research in politics, sociology, or criminology. About the programme Upon joining our PhD
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Proposed topic “Creating a National Digital Twin for self-harming
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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21 Oct 2025 Job Information Organisation/Company The Institute of Cancer Research Research Field Biological sciences » Biology Mathematics » Computational mathematics Researcher Profile First Stage
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must have, or expect to have, at least a 2:1 honours degree (or international equivalent) with a UK master's degree (with average programme mark of no less than 65%) or international equivalent