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renewable energy in a dense and usable form. However, the thermodynamic and kinetic barriers associated with CO₂ reduction require the development of high-performance and selective catalysts. The selected
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the BENEFIT project, funded by the French National Research Agency (ANR), to work on active flow control and machine learning. 1- CONTEXT -------------------- Active flow control aims to modify velocity fields
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on the grading system). In the French system, this generally corresponds to an excellent Master 2 performance, ranking among the top 10% of the class. This PhD project aims to develop advanced software solutions
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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pathways underlying EMT induction, thereby providing evidence for a potential causal link between nanoplastic contamination and mammary tumorigenesis. The doctoral candidate will serve as the operational
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described. From a technological perspective, optimizing radiative cavities is critical to improving the performance of TPV subsystems. Efficient cavity designs must maximize useful photon flux reaching
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• Ability to work within a French research environment • Experience in optimizing protocols or developing new protocols • Proficiency with approaches and experimental design for mesocosm studies
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Institute of Biological Sciences. CLLE is therefore a multidisciplinary research unit within the field of Cognitive Sciences: the work conducted there covers the fields—to a greater or lesser extent
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chemical production, the focus is on optimizing yield, distribution, or conversion by testing different operating conditions (pressure, concentration, temperature, etc.) and at isothermal conditions. Then
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). Expected results: • New HWCVD technology validation and optimization. • Obtain high optical performance a-SiC thin films (test material in small dimension, <2-inch) to be used in other WPs. • Comprehensive