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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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–Stokes operator linearised about the turbulent jet mean flow. The tool, designed to account for the decorrelating effects of turbulence, will first be validated on axisymmetric jets and subsequently
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to the design, control and validation of the secondary circuit of the device on the operational and biological level. The research engineer will build on proof of concept studies and previously conducted by
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research in Artificial Intelligence and its ethical, frugal, and sustainable dimensions? Do you have a PhD and a solid experience in research or R&D in AI, with a specific interest in designing models
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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to climate change) under the supervision of Dr. Ashley Shade in the “Bacterial Efflux and Environmental Resistance” team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5557-BEABIG-045
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implementations for compression, heterogeneous quantization, etc - reproduce state of the art network parameters with extreme quantization and compression of parameters - design and implement next-generation
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participate in supervising the work. The successful candidate will be responsible for contributing to the various stages of the research: - participating in the design of experimental protocols, considering
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aging reactors and to promote innovation for new nuclear power plants. The main innovative approaches rely on reliable predictions integrating multiphysics-multiscale calculations and data-driven models
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activities Projet management (20%) – Ensure effective communication and coordination among all project partners and stakeholders. – Prepare, maintain, and update the project work plan, including timelines