392 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at CNRS
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trainings, the laboratories guaranteeing the needful items for his/her security during manipulations. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7182-JESSAN-006/Default.aspx Requirements
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recreation, ticket sales, etc.) Health Insurance: Mandatory enrollment (unless exempt) in the MGEN plan, with 50% coverage Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8004-PAUBAR-010
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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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astrophysics (completed by the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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specialist for the formulation of model soft media. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295-MATMAL-001/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster
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commensurate with experience and follows national academic standards for postdoctoral researchers. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9019-NATPET-006/Default.aspx Requirements Research
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the network, as well as with academic and non-academic partners. General information about the CLIMES project is available at: [https://www.climes.se/climesdn/ ](https://www.climes.se/climesdn/ ) All working
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MICADO (the first light instrument of the Extremely Large Telescope). The project provides a collaborative network, engaging with leading experts in optics, astrophysics, and machine learning from