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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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in unprecedented ways. She/he will play a central role in directing and carrying out the above program, drawing on the skills present in the two partner groups. More generally, she/he will also benefit
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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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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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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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, 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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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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programming (GPU, multi-threaded, etc.) is a plus, especially with the Kokkos library or equivalent. You are autonomous and you wish to be part of an interdisciplinary work team. Salary and benefits The CEA
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training around all of these aspects for researchers and engineers The essential expected skills are: Good practice of Unix/Linux system and system administration Good programming experience (C/C++, Python