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-structure-sediment interactions Post-processing and analysis of large datasets using Python/MATLAB Supervision of project-related student internships and master theses Dissemination of results through
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at the latest to the following address: nicolas.dugue@univ-lemans.fr or by clicking on this link . Where to apply E-mail nicolas.dugue@univ-lemans.fr Requirements Research FieldComputer science
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computer and programming skills (e.g., Python, R) are highly beneficial Hands-on experience with ChemSpeed or related robotic platforms for reaction automatization is highly beneficial Previous experience in
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data (nationwide LiDAR coverage at 50 cm resolution). The candidate will perform quantitative morphometric analyses of landscapes and river networks near suspected active faults using GIS tools, Python
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14 Mar 2026 Job Information Organisation/Company Univ. Lorraine CNRS Research Field Technology » Materials technology Chemistry Physics Researcher Profile Recognised Researcher (R2) Leading
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in scientific programming, particularly in Python and C++ LanguagesENGLISHLevelGood Additional Information Selection process Candidate will have to submit the following documents: Detailed and updated
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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Computation”, led by Univ.- Prof. Dr. Philip Walther, is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics and a member of the Vienna Center for Quantum
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– CNRS) and the CEA/CESTA (Bordeaux). LabHC is jointly run by the CNRS (French National Center for Scientific Research) and Jean Monnet University. Where to apply E-mail jean.philippe.colombier@univ-st
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”, led by Univ.- Prof. Dr. Philip Walther, is part of the Quantum Optics, Quantum Nanophysics & Quantum Information group at the Faculty of Physics and a member of the Vienna Center for Quantum Science and