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materials to post-mortem gas analysis. This team is completed by data scientists and electronics engineers. A large anhydrous room is available to build Li-ion cell prototypes, as well as to develop any
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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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wishes to develop work involving behavioural/experimental economics, in collaboration with energy economists. To this end, we are looking for a research associate who can help to drive forward this new
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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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or embedded systems. You have experience in computer architecture and/or hardware synthesis and/or formal methods for hardware verification. You enjoy working in an applied research environment at the state
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Join Our Team Would you like to help crack the secrets behind high-temperature superconductivity and explore exotic states of matter like quantum spin liquids? We are seeking a bold and curious
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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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at Attolab in CEA-Saclay and to advance understanding of the experimental data through modeling. Contract duration (months) 1 year, renewable for 1 additional year Job description Your mission will focus
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responsible to develop and test the new software in collaboration with experts of genomics at Joliot and of computer science at MdS. Your mission will include: Discussions and set-up of the physical models
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will be considered a plus: Data analysis libraries such as Dask Knowledge and experience with Python, Fortran and/or GPU computing HPC and parallel libraries such as OpenMP and MPI HPC parallel IO