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the institution. the project will be delivered in partnership with colleagues from both the professional service and academic communities. The work will involve linking numerous large student education datasets
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or equivalent experience in an appropriate discipline A background in numerical ice-sheet, glacier or fracture modelling, or equivalent experience Robust experience with computer coding (e.g., Python, C++) Track
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medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. These posts
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calculations. In this collaboration, the experimental work will be carried out at the University of Salford, whereas the mathematical analysis and numerical modelling will be done at Nottingham. The work will be
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, multidisciplinary facilities for studying cellular and animal disease models. It also maintains numerous collaborative research links across the UCL Queen Square Institute of Neurology, UCL, the UK, and
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optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical
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candidate will work on modelling, analysis, and optimization of circular agri-food supply chains in the UK with a broader emphasis on identifying data-driven and practical solutions to minimize food waste and
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are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
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involve performing numerical simulations to study magnetic fields in the cores and crusts of neutron stars, using and extending one or more existing codes, but also developing entirely new codes
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We are looking for a researcher, whose expertise lies in numerical methods for dynamical systems, to work with Dr Rachel Nicks and Professor Stephen Coombes on a Leverhulme Trust - funded project