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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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changeYears of Research ExperienceNone Additional Information Eligibility criteria • Minimum training: PhD in atmospheric physics and chemistry, with significant experience in in situ data analysis. • Good
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3 Mar 2026 Job Information Organisation/Company CNRS Department Sciences et Ingénierie, Matériaux, Procédés Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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3 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Physique Théorique Research Field Physics Chemistry » Computational chemistry Researcher Profile First Stage Researcher (R1
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3 Mar 2026 Job Information Organisation/Company CNRS Department Institut de Recherches sur la Catalyse et l'Environnement de Lyon Research Field Chemistry Physics Researcher Profile First Stage
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3 Mar 2026 Job Information Organisation/Company CNRS Department Institut européen des membranes Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Application
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. Parametric study in different experimental conditions to modulate the hotspot effect and its quantification. 24 to 36 months: Modeling both the photoacoustic signal generation by a heated nanoagent and the
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unpredictable terrain, unknown obstacles, in season changing working scenarios, and a range of weather conditions that can impair autonomous navigation and operation and limit reliability. Additionally
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, its winds have never been systematically measured. Yet atmospheric circulation drives nearly every climatic and geological process on the planet—from dust storms and aeolian erosion to the transport