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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(www.code-saturne.org ), EDF developed recognized expertise in neural-network-based learning for handling simple fluid flows with high accuracy [Meyer et al., 2021]. In 2022, an algorithm hybridizing POD
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. ▪ Working closely with partners at TUD and theoretical researchers on algorithm development, performance analysis, implementation, and experimental validation. To be qualified for this position, you should
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information is contained in these data and develop the computational and statistical approaches needed to extract it. Working closely with experts in imaging technology, algorithm development, biology, and
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donor management, donor health protection, health data use, and algorithm-supported decision making. 2. Stakeholder Perspectives Using focus groups and semi-structured interviews, you will explore
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with advanced control methods. The research will therefore explore RL algorithms that not only operate optimally against such competing objectives but also effectively under uncertainty, changing
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integrated with optimization algorithms to support faster, more robust, and more adaptive decision making. The project addresses research questions like: How can learning-based models be integrated with
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erythrocytes, alongside biomarkers of inflammation and oxidative stress. Using combined laboratory and clinical data, empirically derived algorithms for subphenotype identification will be developed through
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14 Jul 2026 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique de Lens Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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benchmarking and performance analysis against state-of-the-art studies Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms Design, set up, and operate experimental systems
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introducing narrow-bandwidth active noise compensation. RF field feedback can be further enhanced by investigating variable-gain controllers that adapt to cavity detuning, or exploring other feedback algorithms