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prospects for improving energy efficiency and decentralization (adaptation to local energy sources). There is no universally optimal cycle; optimality depends on precise specifications defining the objectives
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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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value-added materials. Objectives of the PhD The PhD candidate will focus on designing and optimizing green spinning processes for lignin-based fibers, relying exclusively on enzymes and water, avoiding
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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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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of such high-performance fiber laser platforms requires advances in the development of high-reliability fiber components and optimized doped fibers. The first objective of this PhD project is to explore
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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