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facilities, we advance understanding of turbulent incompressible, compressible, and multiphase flows through coordinated research. About the research project This research project develops high-efficiency
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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fundamental and applied contexts. Using state-of-the-art laboratory facilities, we advance understanding of turbulent incompressible, compressible, and multiphase flows through coordinated research
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: Homogenization of (in)compressible visco-elastic fluids Singular limits such as low Mach and stratification Related topics such as existence theory, especially for limiting systems The applicant must have: a Ph.D
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extensively studied in dynamic compression, with widely varying compression rates. A large body of literature exists, but there is disagreement on the transition ranges, the nature of some of these transitions
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astronomy - Explore compression opportunities within the radio-astronomy workflows potentially leveraging DNN methodologies. These compression schemes will be evaluated in terms of (i) trade-off between
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geometry in control theory, etc.) and in the field of education. Many phenomena observed in the ocean or atmosphere are still not understood. Using compressible or incompressible models, we will seek
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techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good knowledge of possible errors. hands-on experience with alloy design strategies, including high-throughput
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at the Division covers turbulent flow (both compressible and incompressible), multiphase flows, aero-acoustics and turbomachines. Our tools include both computations and experiments. The research covers a wide
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for 12 months and is available from 1st October 2026. The successful candidate will be based in the School of Mathematics and Statistics at the Open University campus in Milton Keynes. https