230 parallel-computing-numerical-methods-"Prof" positions at University of Manchester
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A Postdoctoral Research Associate appointment in numerical modelling of volcanic conduit flow is available from November 2025 for 42 months in the framework of the newly funded NERC Large Grant
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together world-leading researchers from a range of underpinning disciplines, including probability and statistics, applied mathematics and numerical analysis, and other areas of computational science. The
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About the role: This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure
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We are looking for a Research Fellow, with a strong background in qualitative research methods, who can apply their skills, knowledge and experience to the UKRI Medical Research Council (MRC) funded
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funded ENLIGHT - Enabling a Lifecycle Approach to Graphite for Advanced Modular Reactors consortium, a £13.2 million, five-year programme accelerating innovation in next-generation nuclear technologies. It
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project team to develop an initial VR risk reduction training programme and implementation toolkit, using user-centred design approaches. The project is using a phased, mixed-methods approach to develop
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About the role: We seek a high-calibre and strategically minded Project Manager to lead the delivery of the DATAMIND-Observatory, a major national programme accelerating mental-health research and
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The Division of Informatics, Imaging and Data Science wishes to appoint a Research Associate to an exciting project exploring the creation of models of 3D objects for interactive experiences such as
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BACKGROUND This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure and
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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure