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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 8 hours ago
contribute to the design, development, and experimental validation of novel graybox tunneling algorithms for multi-objective combinatorial optimization, with a particular focus on their parallelization and
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 8 hours ago
of numerical optimization algorithms. Software maintenance and development. Read scientific reports. Write scientific reports. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10548
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-enabled scientific workflows that address high-impact national challenges. Responsibilities include, but not limited to: Develop novel AI, machine learning, and knowledge-guided learning algorithms
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 8 hours ago
reliable methods for robust control (H∞) to determine the robustness radius γ as a function of the system's physical parameters. Develop algorithms, reliable visualization tools, and software capable
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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position is central to the project in that you are expected to collaborate with project members to develop algorithms and knowledge within AI, through the development of experiments and simulations, and
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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of science; (b) develop novel metrics and algorithms for AI explainability; and (c) create a tight feedback loop where (a) and (b) can iteratively refine each other. As a postdoc, you will be based in the Data
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt