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. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving
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10 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Engineering Computer science Mathematics Researcher
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be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
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Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat | Poitiers, Poitou Charentes | France | 8 days ago
(storage in stabilized form). Assess the compatibility of treated residues with valorization in the construction sector. Develop a prototype of an integrated process, adaptable to the characteristics
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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mechanical structures, systems, and processes. Our areas of activity are in line with those of the mechanical engineering industry, with a particular focus on projects in the fields of aeronautics, space
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discrimination but with international mobility requirement, with interest in fluorescence, microscopy, photochemistry, photophysics, data treatment and image analyses. Goals of the PhD project include
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 12 days ago
architectures such as embedded Neural Processing Units – NPUs (i.e., ARM Ethos-U, STM32N6, etc.), smartphones, and custom architectures for AI-based real-time audio DSP relying on FPGAs (Field-Programmable Gate
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders