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are Combustion and Reactive Systems, the Atmosphere and the Environment, as well as Space Propulsion and Atmospheric Reentry. The laboratory is composed of 8 researchers, 15 teacher-researchers, 15 ITA staff, and
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additional mechanical losses. Unlike conventional static devices, the vortex generators studied here adapt their shape and/or position naturally in response to flow conditions. This self-adaptative behavior
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PhD position on ID14: Linking Elasticity of (Mg₁₋ₓFeₓ)O to Seismic Anomalies in Earth’s Lower Mantle
) beamline team at ESRF composed of 8 people and study the elastic properties across the spin transition in Ferropericlase-Magnesiowüstite at extreme conditions to link the elasticity of (Mg₁₋ₓFeₓ)O to seismic
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model that explains lattice distortions and branching mechanisms. (4) Analyze experimental data using advanced computational tools and present results in research meetings and scientific publications
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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-researcher, the successful candidate will enjoy comfortable working conditions. So far, plant fungal pathogens have been most heavily investigated and they have been shown to follow the so-called 'two-speed
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to the industrial recovery and reuse of these critical elements. More specifically, the proposed mission will explore two avenues: - optimization of Rh solubilization during dissolution of model
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hybrid systems combining DES and conventional extractants with a view to achieving synergies in terms of efficiency. • Optimize operating conditions (ultrasound, microwave activation) to improve
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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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University, is recognized for its expertise in artificial intelligence and formal methods In this stimulating academic context, we will focus on the problem of explainability of artificial intelligence models