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controlled power electronics to optimize the overall efficiency of electromechanical conversion. Ultimately, the system will be integrated into two thermal energy conversion cycles: a thermochemical cycle and
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critical for optimizing performance and is an important ingredient in the design of high performance parts in aeronautics, energy, transport, and plenty of other domains. The theory behind the aforementioned
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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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, 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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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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