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parallel programming and/or high-performance computing, particularly on GPU or FPGA architectures; Knowledge of compression techniques, including predictive coding, filter banks, transforms, and statistical
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arenas with the user partners in CISU to develop research directions within the CISU context. The candidates' parallel projects enable direct comparison and knowledge transfer across urban contexts. Both
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monitoring; Experience in parallel programming and high-performance computing; Ability to work autonomously within a multidisciplinary team; Experience in communicating technical-scientific results orally and
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cells and the collinear alignment of the pump beam. In parallel, they will participate in the development of a long-range LiDAR test platform, with a focus on experimentally investigating how speckle size