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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
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fluid dynamics and/or magnetohydrodynamics, in addition to excellent numerical skills. The post-holder will also play a key role in the dissemination of the results from this project, so excellent verbal
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Combustion, vol. 84, p. 25–47, April 2009 web . [9] P. J. Schmid, «Dynamic mode decomposition of numerical and experimental data,» Journal of Fluid Mechanics, vol. 656, p. 5–28, July 2010 web . [10] S
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package on archetype generation and develop data integration pathways Contribute to estimating environmental exposures at archetype levels using computational methods like fluid dynamics, AI and ML
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) – The secondment will take place at the ARTORG Center for Biomedical Engineering Research, where Prof. Obrist leads the Cardiovascular Engineering group. His research focuses on biomedical fluid dynamics