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on representation, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design
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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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: Access to advanced GPU clusters and opportunities to publish in top-tier venues. Innovative Culture: Be part of a multidisciplinary team tackling challenging problems in neural compression and computer
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, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded signal processing for wireless underwater sensors. This is
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the project/work tasks: Keywords: Onboard processing, data compression, data quality, adaptive sampling, adaptive transmission, low energy consumption The PhD project has the working title Embedded
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flow regime ranging from steady laminar to unsteady turbulent configurations, there is also potential to extend the analysis to compressible flows and structural analysis. This research is highly
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efficiency. However, their complex behavior under combined loading conditions—compression, bending, shear, and torsion—poses significant challenges for both design and long-term performance monitoring
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the Research Group “Nonlinear Optimization and Inverse Problems” (Head: Prof. Dr. D. Hömberg) starting as soon as possible. The project is part of a BMBF project concerning industrial scale data preparation
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change in ultrafast optics pushed, among others, by DESY, one of our research topics focuses on the development of ultra-short pulse Ytterbium lasers employing multi-pass cell post-compression. In close
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
4 Feb 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1