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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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processes. The targeted configuration concerns Görtler vortices --- pairs of longitudinal counter-rotating vortices in boundary layers over concave walls --- structures relevant for aerospace and energy
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality
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possibility of exploiting these defects will be investigated. Bibliography [1] M. Lindemann et al., Ultrafast spin-lasers, Nature 568, 212 (2019). [2] N. Nishizawa et al., Angular optimization for cancer
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) combine their expertise to fully develop, that is including sub-systems design and optimization, a versatile reversible sCO2 Brayton cycle targeted to harvest industrial waste heat. In this project, LMFA
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mechanical problems [1-3]. Special attention will be devoted to the integration of physics-informed constraints in the learning process to ensure robustness, interpretability, and extrapolation capabilities
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mechanical problems [1-3]. Special attention will be devoted to the integration of physics-informed constraints in the learning process to ensure robustness, interpretability, and extrapolation capabilities
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solutions that maximize operational efficiency, minimize network impacts, and ensure the long-term sustainability of the proposed approaches. The project investigates optimized EV charging strategies aligned
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— Liquid Biopsies and Therapeutic Optimization), Université de Lorraine, Nancy, France. Drawing on a solid background in cell biology, the doctoral candidate will lead the phenotypic screening and