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to up to 30 kHz leads to the massive production of data, for which fast (even quasi-instantaneous) processing via neural networks is crucial. Objectives and expected results: The PRICELESS PhD project
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 7 days ago
to confirm or challenge the initial findings. He or she will also be expected to test and develop new calibration transfer methods, including neural network approaches, notably in collaboration with
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for quantized and pruned neural networks, creation of quantized and pruned demonstration models, reproduction of state of the art, experiments in heterogeneous quantization Depending on expertise
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“Advanced tools for operation/supervision of energy networks” at the Rennes campus of CentraleSupélec. The position is funded as part of the French National Research Agency’s (ANR) FairGrid-AI project “Fair
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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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to the activities of the SIR-V2G project wich primary objective is to address the challenges arising from the large-scale integration of electric vehicles (EVs) into distribution networks by developing smart
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partnerships Represent the organization in international Frugal AI networks Build and supervise a research team, while mentoring junior researchers for skill development and scientific growth. YOUR PROFILE VITAL
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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