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Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated datasets, and strong programming in Python
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the members of the team (~12 people), in a collaborative and interdisciplinary environment. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9197-GLEDAL-006/Candidater.aspx Requirements Research
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programming (Python, MATLAB), and a high level of experimental autonomy will be particularly valued. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9001-NORLAN-013/Default.aspx Work
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of exoplanets and aims to exploit data from the newly commissioned HiRISE instrument. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5274-MICBON-007/Candidater.aspx Requirements Research
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Eligibility criteria - Solid background in fluid mechanics - Expertise in Python - Oral and written communication in English - Interest in interdisciplinary environment Website for additional job details https
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https://emploi.cnrs.fr/Candidat/Offre/UMR7638-JEASAU-002/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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python. Language: fluency in spoken and written English. Good communication skills and ability to work in a team. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6533-STEMON-005
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of developments into the OpenMC git repository. - Evolving neutronic calculations and associated scenarios in the ISAC and MIMOSA projects. The Grenoble Laboratory of Subatomic Physics and Cosmology (LPSC) (http
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, A. Imparato, J. Anders, S. Whitelam, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5672-LUDBEL-003/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD
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directed by Rémy Slama. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-200/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research