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-world conditions. This project is supported by brand-new laboratory facilities at the University of Manchester's Hydrodynamics Lab, www.scieng.manchester.ac.uk/tomorrowlabs/manchester-hydrodynamic-lab
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Application deadline: All year round Research theme: Numerical Analysis This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply
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data analysis. The PhD student will benefit from not only the excellent academic environment at The University of Manchester, but also from access to state-of-the-art instrumentation such as the recent
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quantum systems. This project would suit a student with a strong interest in quantum information theory and/or quantum foundations. The work will be mostly analytical, with scope for a significant numerical
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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Boltzmann method simplifies the numerical treatment of fluid flows by evolving particle distribution functions across straight lines on a computational grid, rather than evolving the trajectories of the flow
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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selection and policy decisions to minimize environmental impacts, resource consumption, and long-term radiological risks. This research involves a cooperation between TalTech and the University of Manchester