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20 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Engineering Computer science Mathematics Researcher Profile First
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the following ones. Exploration of active auditing techniques for large machine learning models, use of reinforcement learning, potential application to recommender systems. The PhD will mainly investigate
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of territories, etc.). Modelling Urban Territorial Transformations of the Baltic Region: A Spatio-Temporal Computational Approach. (What is an Integrating Mathematics, Remote Sensing, and Geo-AI Simulation?) In
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your arrival. The EM2C laboratory is seeking a highly motivated candidate for a PhD in data-driven, physics-informed, and probabilistic modeling of turbulent combustion. The PhD work will combine
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simulations, optimisation, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https
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of environmental seismology, an emerging field focused on interpreting seismic signals generated by surface processes. This interdisciplinary PhD project aims to integrate hydraulic measurements, physical models and
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Systems”: Research focuses on model reduction in linear and nonlinear dynamics, developed within a framework of mechanics, applied mathematics, and physical sciences for engineers. • “Bioengineering
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. Activities: Development of mathematical models. Development of probabilistic inference algorithms. Code implementation, with a particular focus in Julia. Method validation. Application of models on curated
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and guide policy insights; ● Publishing methodological and applied findings, and presenting at international conferences. Your PhD will thus lie at the interface: you'll not only build mathematical
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to the topic of the PhD project will be a plus. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8051-VIRLAI-014/Candidater.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree