221 evolution "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs at CNRS
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Website https://emploi.cnrs.fr/Offres/CDD/UMR5267-DOMCAI-002/Default.aspx Requirements Research FieldLanguage sciencesEducation LevelPhD or equivalent Research FieldLanguage sciencesEducation LevelPhD
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to the scientific and technological development of the LOTUSIM-Energy simulator and its associated autonomy components. Their main responsibilities will be: - Developing and integrating multi-physics simulation
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wave enantioselective electron paramagnetic resonance (TWEEPR). The successful candidate will contribute to the development of novel GHz experimental techniques within the Magneto-optics team
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) and high mass (>100 GeV). More details about the team in https://www.cppm.in2p3.fr/web/en/research/astroparticles/index.html#Dar… The candidate will be involved in all experimental aspects, from
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instrumentation. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5214-JEAGAY-092/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The tasks of the position are as follows: 1) Development, characterization
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media requires the development of approaches targeting intermediate scales of matter, between the nanometer and the micrometer, using both experimental tools for synthesis and characterization, often in
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their spatial patterns in varying environmental conditions. The successful candidate will integrate to the research unit « Microbial Oceanography - LOMIC : http://lomic.obs-banyuls.fr » in Banyuls sur mer, and
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, as well as to the development of a structured database generated from ab initio calculations and enriched through machine learning approaches. The objective is to develop predictive tools to analyze