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vertical devices, it’s crucial to ensure uniform current flow across the entire device area. Structural modifications like current spreaders, channel regrowth or optimized electrode designs help mitigate
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innovative materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard
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construction of complex metallic components. Activities include planar and non-planar slicing, toolpath optimization, robotic integration, and experimental validation on aluminum alloys and structural steels
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materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard carbon
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between the synthesis conditions, the microscopic scale structure of these materials and their thermoelectric properties, with a view to optimizing energy recovery in different industrial environments
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Certifications/Licenses Required Knowledge, Skills, and Abilities Experience with AI-driven model updating and calibration of structural systems, including learning-based or optimization approaches Strong
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optimization of organic, inorganic, and composite coatings Implementation and optimization of plasma deposition processes at low pressure and atmospheric pressure Characterization of compositional, structural
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application of PowerMarketSim, an open-source electricity market simulation framework, to assess the profitability and system value of flexible assets under evolving market conditions. The work is structured
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Sorbonne Universite - Laboratoire de Chimie de la Matière Condensée de Paris (LCMCP) | Paris La Defense, le de France | France | 1 day ago
cultures fail to recapitulate the complex three-dimensional structure of the IVD and do not accurately reflect in vivo responses. Therefore, advanced 3D preclinical models are required. We have previously
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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