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." Proceedings of the 25th ACM Conference on Economics and Computation. 2024. [2] Correa, José, et al. "Prophet inequalities for iid random variables from an unknown distribution." Proceedings of the 2019 ACM
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 23 days ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
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://avenues.utc.fr/recherche/plateformes-technologiques/living-lab-stella/ ) as well as high performance computing unit PILCAM (https://pilcam2.utc.fr/ ) of UTC. Where to apply Website https://utc.recruitee.com/o
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 days ago
between the device-dependent and the device-independent scenario, and (iv) developing its applications in communication, computation, and security tasks Where to apply Website https://jobs.inria.fr/public
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) Established Researcher (R3) Application Deadline 14 Mar 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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7 Feb 2026 Job Information Organisation/Company CNRS Department Institut européen des membranes Research Field Chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher
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) Established Researcher (R3) Application Deadline 19 May 2026 - 22:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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16 Jan 2026 Job Information Organisation/Company University of Rouen Normandy Research Field Computer science » Database management Computer science » Informatics Mathematics Researcher Profile
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
distribution. The work also aims to improve inference efficiency by reducing dimensionality, reusing computations, and combining multiple measurements. The PhD candidate will develop, test and validate