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the use of reinforcement learning approaches to enable tractable active auditing, by both relaxing guarantees and by adding work assumptions for proposing efficient algorithms. Where to apply Website https
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to real-world error patterns by means of learning methods. This requires a recognition of the diverse and complex error patterns that can occur in quantum devices in real-world scenarios. To achieve
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-based interatomic potentials, and active learning strategies for identifying materials with high thermoelectric efficiency (ZT figure of merit). Where to apply Website https://emploi.cnrs.fr/Candidat
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analysis) to compare brain responses with predictions of computational models (deep neural networks developed by the NASCE team). The objectives include assessing how the brain segments, groups
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African ocean basins. - Help establish anticipatory governance to ensure that actions to realize transformative visions take into account multi-scale temporal and spatial dynamics. Where to apply Website
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-Saclay/CentraleSupélec http://em2c.centralesupelec.fr/ ), through its high-level academic research on energy and combustion and its applied studies in partnership with the most prominent companies
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order model, machine learning, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics
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from renewable electricity and sustainable raw materials, represent a promising solution, enabling deep decarbonization. DESIRE is a Marie Sklodowska-Curie doctoral network that aims to train 15 doctoral
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR7107-ANIFOR-019/Candidater.aspx Requirements Research FieldLanguage sciencesEducation LevelPhD or equivalent Research FieldLanguage sciencesEducation
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addition, a postdoctoral researcher will join the project during its second half, providing further scientific support and opportunities for close collaboration. This PhD project focuses on the design