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in computational social choice and artificial intelligence The recruited individual will join the 2IA PRAIRIE-PSAI institute and develop research at the intersection of computational social choice and
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description context: The rapid expansion of Artificial Intelligence has generated a
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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chemistry, biomass recovery, the circular economy and advanced materials. Combining experimental approaches and artificial intelligence-assisted theoretical chemistry tools, E2P2L stands out for its close
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authentic data and the use of artificial intelligence techniques, with the long-term objective of developing automatic recognition and generation systems to animate avatars. The linguistic component, led by
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on the development of advanced artificial intelligence and machine learning methods for genome interpretation, with a particular emphasis on modeling the relationship between genetic variation and phenotypic outcomes
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aging tests and electrical measurements to assess component reliability. -Ability to analyze and interpret experimental data (physical signatures, correlations with reliability). -Use of artificial
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine
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of 9 people : 4PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated with the Institut Pasteur's Computational Biology Department, UMR3738 and the PRAIRIE Artificial