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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
. The aim of this 2-year mission - co-funded by Airbus and Inria - is to work on low-rank compression algorithms, which are a fundamental building block of the H-matrix approach. There is a huge variety of
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- 4 Research FieldPsychological sciences » PsychologyYears of Research Experience1 - 4 Additional Information Eligibility criteria - Strong background in neuroevolutionary algorithms and/or NAS
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7 Feb 2025 Job Information Organisation/Company CNRS Department LIP6 Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
analyzing distributed, uncertain, and interconnected dynamical systems with the design of estimation and control algorithms using the concepts of finite-time/fixed-time/hyperexponential convergence and
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» Algorithms Researcher Profile First Stage Researcher (R1) Country France Application Deadline 26 Mar 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1
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aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimising PIC algorithms for modern
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27 Feb 2025 Job Information Organisation/Company CNRS Department Institut de recherche en informatique et systèmes aléatoires Research Field Computer science Mathematics » Algorithms Researcher
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1 Mar 2025 Job Information Organisation/Company CNRS Department Institut de recherche en informatique et systèmes aléatoires Research Field Computer science Mathematics » Algorithms Researcher
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 months ago
HPC-Quantum Initiative, and play a central role in advancing our understanding of quantum algorithms, architectures, and applications. QAT is a newly-formed team at ENS Paris, dedicated to exploring
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prediction using diffusion models, genetic/evolutionary algorithms or even random algorithms (etc.). Binary and ternary phase diagrams under pressure will be explored. From the crystal structure generated, he