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order model, machine learning, data-driven algorithms, deep reinforcement learning The Pprime laboratory is a CNRS Research Unit. Its scientific activity covers a wide spectrum from materials physics
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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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distributed systems, computing, programming and software sciences, artificial intelligence and data sciences)”, Candidates must present a research program that pertains to the themes and sub-themes of Section n
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UVP (Underwater Vision Profiler) database including Particle size distribution (PSD) and concentrations from ship-based rosette deployments, BGC-Argo profiles, gliders, moorings, and other platforms
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single needle, a robotic platform introduces complex motion control challenges that require the development of adaptive toolpath algorithm. This algorithm will ensure continuous and smooth deposition while
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) information on pore distribution and (ii) computational domains to simulate CVI cycles. • Materials studied: Simple and pre-infiltrated fibrous textures using PIP, provided by project partners. • Acquisitions
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30 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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-world error patterns: we therefore aim to go beyond the traditional depolarizing error model generally accepted in the quantum coding community. One therefore wishes to adapt existing decoding algorithms
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elements are frequently involved in horizontal transfers, allowing them to colonize new hosts. However, understanding and predicting how horizontal transfers shape the distribution of TEs among species is
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran