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to update Frame Analysis by adding visualization repertoires and to develop an analytical framework that will enable political scientists to more systematically integrate the visual approach into various
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 15 days ago
accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) and AutoLyap (https://github.com/AutoLyap/AutoLyap/ ) software packages
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 14 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 18 days ago
the length-scales at which fibers interact, innovative approaches are crucial. Recent developments for the simulation of frictional fibers have made possible the efficient simulation of tens of thousands
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unsupervised baseline. • Months 6-18: Development of Generative models for simplex-valued images and integration into inverse problems pipelines. Data preparation for supervised model training. Application
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analyses in the neutrino sector with the future DUNE experiment, development of simulations and of reconstruction algorithms and related performance studies , characterization, installation and commissioning
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projet ANR 4DPlants (https://4dplants.icube.unistra.fr/ ), financé par le ministère français de l'Enseignement supérieur et de la Recherche, et mené en partenariat par ICube/Université de Strasbourg, RDP
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in three dimensions with an increased speed and resolution. One important challenge remains in iterative reconstruction algorithms, which require a lot of processing. This is currently developed
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of FHE. The project aims to develop more efficient neural network architectures tailored for encrypted computations. The postdoctoral researcher will be supervised by Jean-Christophe Mourrat, in