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candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems (e.g. weather
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Institute for Applied Geophysics). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5243-HELOUR-075/Candidater.aspx Requirements Research FieldGeosciencesEducation LevelPhD or equivalent
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5 Feb 2026 Job Information Organisation/Company Institute of Geodesy and Cartography Research Field Environmental science » Other Researcher Profile Other Profession Positions PhD Positions
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contract Category (A,B or C) : A Contract/project period : Expected date of employment : March/April 2026 Proportion of work : 100% Desired level of education : PhD (Doctorate
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Qualifications Required qualifications: ● PhD in civil engineering, mechanical engineering, geophysics, or a related field ● Experience with developing and implementing elastography-type inverse solutions
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(integration of geological, geophysical, geochemical and industrial data). Participate in the definition and refinement of exploration criteria and ranking methodology for native sulfur prospects (geological
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of play: The research group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART
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group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all
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: The research group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies
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an international, collaborative environment. The Role The Mountain Cryosphere Group is seeking a motivated Postdoctoral Researcher (within 3 years of PhD completion) to develop innovative workflows for monitoring