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to rationally design new supported activation systems; • Understanding and optimizing the process of metallocene activation, with the aim of developing more efficient polymerization catalysts. This research topic
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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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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
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using imaging and behavior platforms at SPPIN. This project will allow the control of MeCP2 expression in order to optimize the efficacy of RTT gene therapy, while establishing a modular framework for
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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
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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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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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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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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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and at the clearance level - To define sizing criteria - To optimize the piston ring geometry (axial/radial dimensions; sealing clearance, surface finish, materials, etc.) for different application