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optimization of advanced energy storage systems utilizing coal-derived and other carbon materials as battery electrodes. The successful candidate will conduct experimental research spanning materials development
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related fields). Holding a PhD degree, obtained upon completion of doctoral studies. Programming skills (Matlab, Python, etc.). Ability to work with large datasets. Knowledge of basic statistics. Ability
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skills (Matlab, Python). Ability to work with large datasets. Knowledge of basic statistics. Ability to work in an interdisciplinary team. At least 4 months of experience in research activities carried out
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journals and presentations at conferences. - Collaboration with interdisciplinary research teams as part of the CERTAINTY project. - Optimization and documentation of modeling configurations for future
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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software
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, acceleration, algorithms for optimal transport or generative AI). A good knowledge of Python programming (for AI, optimization) is highly desirable. Website for additional job details https://emploi.cnrs.fr
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. • Knowledge of UAV communication systems and embedded AI. • Experience with simulation environments such as Gazebo, AirSim, Isaac Sim, or MATLAB/Simulink. • Experience in optimization
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postdoc, you will contribute to research and teaching within advanced modelling, optimization and design of composite and lightweight structures for applications such as wind turbine blades. Your work tasks
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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couplers, and packaging interfaces using commercial photonic design tools. Perform optical simulations and tolerance analyses to optimize coupling efficiency, bandwidth, alignment tolerance, and packaging