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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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drug-resistant neuropsychiatric illnesses. The theoretical foundations of this project are inspired by decision theory, which describes human behavior as a cost/benefit calculation based on a set of
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25 Feb 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Computer science Mathematics Researcher Profile First
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Inria, the French national research institute for the digital sciences | Lille, Nord Pas de Calais | France | 3 months ago
15 Feb 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile First Stage
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20 Feb 2025 Job Information Organisation/Company INSA de LYON Department Lamcos Research Field Engineering » Mechanical engineering Mathematics » Computational mathematics Physics » Computational
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media would be welcome. • Finally, some knowledge of hydrodynamic stability theory and linearized mean-field analysis would be a plus. The full, illustrated ad is available on the Institut Pprime website
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25 Feb 2025 Job Information Organisation/Company IMT Atlantique Research Field Computer science Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
advanced techniques such as Cosserat beam theory and finite element methods (FEM). Generate patient-specific models using high-resolution CT scans. Simulation: Develop real-time numerical simulations with
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. Familiarity with Large Language Models (LLMs): Understanding of how LLMs work and their potential application in analyzing large-scale remote sensing data. Mathematical and Statistical Modelling: Proficiency in
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This research will employ advanced error correction techniques and machine learning-driven optimization to dynamically adapt multicast communication parameters in real-time. It will develop mathematical models