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industry partners? Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics? We have a
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the Schools of Chemistry and Chemical Engineering at the University of Leeds, will investigate flow chemistry and machine learning approaches for the development of an automated reaction screening platform
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of the Learning Development Team. This role will be appointed at grade 3, spine point 6 of the University of Leeds grading structure. The hourly rate will be £12.21. Key Dates: Deadline to Apply: Sunday 28th April
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aircraft, advanced ground-based observational facilities, computer modelling and support, and facilities for storing and analysing data. We play a significant and influential role in many international
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a cutting-edge research and teaching team? If so, the University of Leeds has an exciting opportunity for you to join us as a Lecturer in Digital Chemistry for Sustainability. The University of Leeds
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? Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics? We have a vacancy for an
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. This project aims to develop machine learning models to predict a particle shape and size for a given chemical formulae and crystallisation method. Extractive Language learning models developed will be able
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View All Vacancies Are you an ambitious person looking for your next challenge? Do you have an established background in machine learning? Do you want to further your career in one of the UKs
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@leeds.ac.uk Project summary Ligand/material discovery has been carried out through laborious trial-and-error approaches. Recent advances in high throughput computational chemistry and AI/Machine Learning
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the supervision of Dr Pawel Kudela, Prof. of the Institute of Fluid-Flow Machinery, Polish Academy of Sciences. Two secondments at: CNRS, Lille, France, 3 months, University of Leeds, Leeds, UK, 3 months, are