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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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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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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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candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details
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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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sputtering). A coupled approach, involving experiments and Multiphysics numerical simulation will be implemented. A thorough investigation of the relationships between deposition conditions (temperatures
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of oxygenates from CO and/or CO2, and mechanistic studies including operando spectroscopy and possibly numerical simulations (microkinetics, DFT). The objective is to discover new eco-efficient catalytic phases
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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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with an engineer to deploy controlled experiments and collect well-being dimensions. Activities - Formal modeling of well-being - Implementation of enriched student simulator - Development of multi
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this PEPR, to which this PhD is attached, aims to monitor and study French forest productivity and biodiversity, in particular to simulate their future trajectories. The PhD candidate will benefit from strong