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and with the 2AT team at Institut Pprime to develop a shape-optimisation tool based on resolvent analysis, applied to landing-gear aeroacoustics The researcher will develop a numerical methodology based
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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mechanical engineering, aerospace engineering or a related field. The candidate must have proven experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong background in linear algebra
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related field. The candidate must demonstrated experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong expertise in linear algebra and signal processing. Website for additional
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emulator of sea ice dynamics, trained using high-fidelity numerical simulations, (ii) variational data assimilation methods, and (iii) a simplified representation of physical processes in the atmospheric
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, metabarcoding / metagenomics) • Excellent organizational skills for research activities: optimization of experimental protocols, data compilation and management • Ability to generate reliable, high-quality data