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hundreds of hours of exposure) in order to estimate systematic errors. - Develop open-source analysis pipelines for extracting diffuse emission from objects with very low surface brightness. Take into
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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, etc.). Potentially, analysis of the National Alzheimer's Database (BNA) to provide a national perspective on the effects observed in the Méotis network data, subject to approval by the scientific
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) specialized in surface/interface analysis of batteries, which is a lab of the French Research Network on Electrochemical Storage of Energy (RS2E https://www.energie-rs2e.com/en/our-organization ), and the
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traffic analysis equipment level, a byte stream consistent with the behavior of the monitored machine—we are recruiting a post-doctoral researcher within our Network Systems, Cybersecurity, and Law (SRCD
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
accuracy. • Integrate the enhanced mode Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-09952 Requirements Skills/Qualifications The candidate should have a solid background in
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experimental validation of mathematical and computational models linking individual microscopic dynamics, information propagation, and collective structures (norms, social networks, global performance
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to the construction of the detector at the LNGS. Data taking should start in 2029. The subject of this postdoctoral position, funded by the CNRS for two years, is to prepare the analysis of the first data in order to
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and the Environment) or the INFLANET European Training Network. We strive to create an environment where all individuals are valued, respected, and supported. For more info: https://lphi.umontpellier.fr