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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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, 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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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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and programming skills (Python preferred). Excellent written and verbal communication in English. Passion for exploring the frontiers of condensed matter physics. What We Offer · Pioneering
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exploration strategies that go beyond traditional techniques such as linear programming or deterministic solvers. You will work on cutting-edge methods including: Bayesian optimization Surrogate modeling
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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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, you will be a member of a team of 8 to 10 energy system modelers. You will contribute to the development, maintenance and use of our linear programming-based dispatch and unit commitment model of the EU
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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