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. Compressive sensing is a new approach where incomplete sampling under certain circumstances can be used to accurately recover the full data set--roughly translated into more information from less data
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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable
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wide compressed air and compressed air-drying systems. Experience with installing and troubleshooting pneumatic controls. • Experience in performing scheduled maintenance on various types of equipment
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/simulations). The role involves e.g. signal detection in noisy & interfering environments; signal filtering; signal compression; processing of measured data from mmWave RF signals; radar returns; quantum
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10 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms
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compression in children’s developmental trajectories of learning word meanings, as well as communicative efficiency and human-alignment in LLMs. Job duties include: - Contributing to ongoing research projects
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Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes | Saint Aubin Routot, Haute Normandie | France | about 12 hours ago
22 Apr 2026 Job Information Organisation/Company Université Paris-Saclay GS Sciences de l'ingénierie et des systèmes Research Field Engineering » Electronic engineering Researcher Profile Recognised
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: Executing simulations of complex, compressible, multiphase, and chemically reacting flows, including detonation and afterburning, using codes such as HyBurn, CTH, and ALE3D. Performing the full M&S workflow
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
data compression in physics simulations (communication/computation time/cost, quality of the solution...). The benchmark will be realized with benchopt [3] and will benefit from the distributed coding
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consider intradata, residual data, motion data, or a combination thereof. This approach ensures that the compressed bitstream can still be decoded, but with a noisy reconstructed video. To avoid a