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(zeolite structure, texture, composition) that optimize the properties of the photocatalysts and to demonstrate their efficiency in solar-to-hydrogen conversion. Main missions • Design the setup
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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management
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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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and a lifetime compatible with operation at 1450°C (≈2700F) for long periods for internal engine components. The main objective of this thesis project carried out at IRCER is to optimize the PIP
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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requires fundamental and applied research for their optimization, better understanding and industrialization. The project aims to develop and characterize new “reactive” hydrophilic and lipophilic DES
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and fed with data available in the literature. The model will first be developed online and then reduced and optimized for integration into embedded electronics, taking into account performance
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the structure of the BMP1/PCPE2 complex by cryo-electron microscopy with the help of previously developed Nanobodies® to stabilize flexible regions. Finally, we will engineer an optimized inhibitor of BMP1 with
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to optimize the existing experimental setup, develop new methodologies to conduct the proposed experiments, analyze and interpret experimental data in collaboration with fellow researchers in and outside
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complexity by guaranteeing solutions close to the theoretical optimum through local optimization methods. Third, the integration of user preferences allows generating personalized explanations according