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studies. These pipelines must be capable of efficiently exploiting different types of parallelism, both at the level of a computing node (CPU and GPU) and at the level of a cluster of PCs. This environment
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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 Ce travail de thèse s'appuie sur des campagnes
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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 Contrat doctoral : ÉTUDE EXPERIMENTALE ET NUMERIQUE DE
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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 Cette thèse propose une approche multi-échelle centrée
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Programme? Not funded by a EU programme Reference Number PEPR-DIADEM Is the Job related to staff position within a Research Infrastructure? No Offer Description The present PhD proposal is part of the project
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 11 days ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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(Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38h30 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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21 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire des Signaux et Systèmes Research Field Engineering Computer science Mathematics Researcher Profile First Stage Researcher
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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 project aims to identify new
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-SofT project, the recruited person will: - design novel algorithm for large-scale block-sparse tensor computations that are suited for massively parallel accelerated supercomputers. - investigate the use