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, completed by large test campaigns on cell prototyped samples, to prove the advantages of Li-ion battery cells with Reference Electrode in terms of robustness, durability and safety. You will plan and organise
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welcome applications from candidates with a strong background in optimization, AI, or computer engineering, and who are excited by interdisciplinary challenges. Skills and interests we are looking
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Within I-Tésé Institute, "Energy Systems and Society" cluster leads approaches in the human and social sciences. In this context, it addresses issues related to energy sufficiency, socio-technical
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of the art and proposing innovations and various application areas. You have acquired the following technical skills Knowledge in: computer architecture, programming languages, formal methods, cyber-security
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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English Candidates with experience in cell culture are encouraged to apply. Experience with imaging, molecular biology, hydrogels, chemistry, microfabrication and microfluidics are highly desirable
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of experience ? You are familiar with Quantitative modelling in energy and economics, preferably power systems ? You have a good knowledge of linear programming ; Understanding of economic theory, with a focus on
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of partners, putting the collective interest first. You have demonstrated your ability to manage a research program with the necessary scientific rigor. Your enthusiasm for innovation will enable you
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) based on various libraries. It is developed in modern C++ and offers C, Fortran, and Python application programming interfaces. PDI offers a reference system similar to Python or C++’s shared_ptr with