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Field
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the innovative use of piezocatalysis. The successful candidate will engage in cutting-edge research to understand, design, and optimize composite materials that can significantly enhance the efficiency
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simulation : Aspen HYSYS/Plus. • Optimization skills: experience with GAMS or pyomo (or similar), including model formulation. • Life Cycle Assessment (LCA): experience with, e.g., Brightway2/SimaPro/Activity
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
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optimization, and advanced simulations, to uncover novel materials tailored for space applications. Key Responsibilities Conduct research in materials, manufacturing, and AI integration. Develop and lead federal
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accordance with a set individual study plan. The focus will be on performing research to optimize and test DBTMI by combining state-of-the-art computer simulations, physical experiments, and clinical studies
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is to investigate the optimal configuration for utility-scale AWE farms, considering the physics, economics, and environmental impact. To determine the optimal scaling strategies for kite farms, a
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plasma-activation of CH4 for optimal post-plasma catalysis into C2H4 Our goal: We aim to develop a plasma-assisted process that converts methane into valuable platform chemicals such as C₂H₄. By designing
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS