616 computer "https:" "https:" "https:" "https:" "I.E" "UCL" Fellowship positions in United Kingdom
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the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering
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sustainable market entry. This project is part of a UKRI‑BBSRC-funded programme based at the University of Leeds, working closely with collaborators at the Universities of Manchester and Warwick. The project
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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at international, national, and local levels and is renowned for its innovative scholarship across the social sciences and beyond. Further details of the School's activities may be found on our home page: http
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About us UCL School of Pharmacy is one of the world’s leading centres of excellence for pharmaceutical science, education and professional engagement, ranked third in the world by QS (2025, Pharmacy
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of future food and alternative proteins, priority areas of interest are highlighted below: Cultivated meat: examples include a research program on cell line development, cell engineering, process optimisation
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University College London. This ambitious programme addresses the sustainability challenges of engineering plastics in the transport, electronics, and construction sectors. It investigates a wide range of
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will involve the creation of an internationally leading research program. The role will be based full time at UCL but will involve extensive interactions with scientists at other SGC sites, in
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to define known genes, discover new disease genes and expansions associated with neurodegenerative disease. In this project the student would benefit from the huge patient resources at UCL Institute
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building