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lack of CFD-grade experimental data for reliable validation of numerical methods. In parallel to the CFD research, the Thermo-Fluids group at the University of Manchester is developing a novel modular
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in a dynamic and collaborative team. In collaboration with the Edinburgh Parallel Computing Centre (EPCC) and our industry partners, the focus of the role is the development of a new solver for
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groups, and a laboratory for research and innovation in the application of advanced computational and data intensive research methods, working in partnership with academics from all fields. We are a home
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government’s Advanced Modular Reactor (AMR) programme has recently identified HTGRs as the preferred design for future advanced nuclear deployment in the UK, with an aim to deliver a demonstration reactor by the
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training on numerical modelling, parallel computing, programming languages, and utilising High-Performance Computing (supercomputer) facilities. The student will gain hands-on experience in developing hybrid
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Martian meteorite falls using advanced correlative microscopy techniques. To determine if they are the same or different Methods We will use a correlative, big data approach that combines X-ray computed
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) Country United Kingdom Application Deadline 12 Feb 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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rates of bioactivity under a range of environmental conditions. Methods A range of techniques will be used to investigate the multidisciplinary project aims. For example: Sample collection and field
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computational mechanics, fluid dynamics, computer sciences, mechanical engineering, engineering physics, oceanography or geophysics. Experience on discrete element method, differential methods, and parallel