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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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Full-time: 35 hours per week Fixed-term: 60 months (1st April 2026 - 31st March 20) The Opportunity: You will join the Wellcome-funded research project, ‘Medicine without Doctors: Reimagining Care and Voice through Play’, which examines the changing landscape of medical authority, voice and...
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, drugs, antibodies, human lymph system, seconds, days, years). This project is in collaboration with GSK and we will work closely with experts from GSK. The Departments of Mathematics is part of
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We are seeking one enthusiastic and motivated individual to work within the Zero-G AstroLab, School of Engineering, on a project funded by the UK Research and Innovation (UKRI) in planetary defence to protect our planet from asteroid hazards. The aim of the project is to deliver and validate of...
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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developed at Manchester to include heterogeneous magnetohydrodynamic phenomena (including current density localisation), solid-dynamics and fracture mechanics. The development of such a robust mathematical
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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The University of Liverpool is seeking to appoint 1-2 motivated and enthusiastic postdocs to conduct research on making Generative AI (GenAI) more robust. You will enjoy a vibrant environment at Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD...
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project