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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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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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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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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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reliability, performance, autonomy, and adaptability. Research at the LIG is organized into five areas: Intelligent systems for connecting data, knowledge, and humans; Software and information systems
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at the CROUS (university restaurant) on the Cronenbourg campus Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7515-JULBER-102/Candidater.aspx Requirements Research FieldChemistryEducation