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particular constraints and will be identical to those of the other researchers at the Observatory. The PhD thesis concerns the analytical and numerical modeling of galactic bars. The candidate will compare
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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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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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: - using experimental data to develop a kinetic model; - modelling the pilot-scale reactor for plasma-assisted NH3 synthesis; - intensifying the reactor and extrapolating to develop the industrial-scale
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of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD. in analytical chemistry
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sciencesYears of Research Experience1 - 4 Research FieldTechnology » BiotechnologyYears of Research Experience1 - 4 Additional Information Eligibility criteria The researcher (M/F) should have a PhD in
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15 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire Réactions et Génie des Procédés Research Field Engineering Chemistry Physics Researcher Profile First Stage Researcher
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researchers in the efficient and clean use of renewable synthetic fuels. Candidates will acquire advanced skills in combustion science, chemical kinetics, and numerical modeling. Each PhD will lead to a double
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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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