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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS
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with experimental and theoretical scientists from chemistry and physics. For relevant papers by our team, see: Physical Review Letters 133, 1, 013201 (2024); Nature 636, 8043, 603-608 (2024); Dalton
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4 Nov 2025 Job Information Organisation/Company The University of Manchester Department Computer Science Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
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aspects of machine learning. Applications include improving the efficiency of data assimilation methods and understanding why and how deep learning works. Applicants should have, or expect to achieve
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that you apply early as the advert may be removed before the deadline. The cryptographic protocols used to secure communications and data are safe under the assumption that problems like integer
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associated facilities. Our group webpage is here https://gibsongroupresearch.com where additional information can be found. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
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implementing engineering wake models in WRF or similar activities. Production data from simulations will be compared with grid data for validation. She/he will closely work with industry and policy makers
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to create a scalable, data-driven framework for adaptive apparel innovation through the integration of emerging digital technologies and engineering methodologies. It will: Investigate how 3D body scanning
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biomaterials. Further information regarding the collaborative supervisory team can be found at https://millerresearchgroup.co.uk and https://research.manchester.ac.uk/en/persons/richard-obexer . You will