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of synoptic processes can be isolated from those driven by surface conditions. Thanks to advances in ground-based remote sensing technology and algorithm development, those profile observations can now be
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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28 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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an internationally recognized research team at LAAS-CNRS in Toulouse, focused on developing autonomous mobile machines that integrate perception, reasoning, learning, action, and reaction capabilities
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Simulation and Physics of Drosophila Larva Body Dynamics Introduction The “STRETCHED” project aims to develop a robust, physics-based 3D simulation platform to replicate the motor control dynamics
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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electronic properties of two-dimensional (2D) semiconductor materials, making them particularly attractive for applications such as catalysis and micro/nanoelectronics, for instance for the development
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project is part of an ANR (ANR-25-CE07-4308) The project aims to develop a
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available for clinical therapies or in development in the drug discovery pipeline [14], there are currently no diagnostic approaches based on detection and quantification of PK activities. Although
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. Explainable Artificial Intelligence (XAI) has thus emerged to develop methods for explaining AI decisions. However, popular agnostic approaches suffer from major limitations: instability of explanations in