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Requisition Id 16985 Overview: We are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
addressing this question by developing advanced algorithms to derive aerosol properties from satellite limb sensors operating in the UV, VIS, and NIR ranges. This work will also involve analyzing aerosol
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security domains to those in welfare and public administration, algorithmic life advances automated and machine decisions into human life. The work within this cluster will develop novel algorithmic life
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 6 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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, or applied mathematics that could drive the frontier of biomedical research. The role will be focused on the development of novel computational and algorithmic methods, with a strong bent towards developing
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concepts underlying the GIG into efficient data structures and algorithms. Your work will also involve developing algorithms to manipulate and analyse GIGs, creating efficient methods for translating GIGs
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 6 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 6 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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to the activities of the Machine Learning & Data Science research group, develop rigorous mathematical proofs for convergence and asymptotic analysis of deep learning models, methods and algorithms, and collaborate