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inference, and computational physics. Among generative methods, Normalizing Flows (NF) stand out for their ability to learn a transformation from a simple distribution to a target distribution through a
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 11 days ago
data compression in physics simulations (communication/computation time/cost, quality of the solution...). The benchmark will be realized with benchopt [3] and will benefit from the distributed coding
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ce projet de doctorat vise à comprendre les
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les Hippoboscidae (mouches larvipares) d'oiseaux
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21 Mar 2026 Job Information Organisation/Company Université de Lille Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Water ice is one of the key substances which provides resources
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research project description : NaTech risk
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD will be carried out within
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of the computer science department. He/She will integrate the RI2C team of LITIS lab, preferably in Distributed Information Systems. Where to apply Website https://odyssee.enseignementsup-recherche.gouv.fr Requirements
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classical learning approaches and consider paradigms suited for large-scale deployments, such as distributed learning, online learning, and edge computing. These paradigms allow balancing the trade-off