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’ positions. Thanks to these tools, Num’Agnel aims to reduce uncertainty margins and ensure enhanced mo- nitoring, even in the physical absence of the farmer. This approach, based on artificial intelligence
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new continuous synthesis approach integrating real-time monitoring and adaptation, assisted by artificial intelligence (AI). The research fellow will also strongly interact with the team of chemical
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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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including genomic experts, immunologists, pathologists, artificial intelligence specialists, and clinician-scientists. The CRC provides access to state-of-the-art sequencing platforms, digital pathology
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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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civil engineering (C2MA), the environment and risks (CREER), and artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology platforms and 1,600 partner companies
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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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and risks (CREER), artificial intelligence and industrial and digital engineering (CERIS). It has 12 technology platforms and 1,600 partner companies. The position is part of the European BEST-CROP
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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