393 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at CNRS
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and erosion for 60 years. One of the main objectives is to acquire fundamental knowledge about the processes controlling environmental risks related to the dynamics of metal contaminants (speciation
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the design and improve understanding of radiative transfer in practical TPV systems Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR8521-ALEVOS-008/Default.aspx Requirements Research
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elucidating the molecular and cellular mechanisms of the late phase of long-term potentiation (LTP), a key process in learning and memory. The project is based on the development and use of an innovative
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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collaboration with LuMIn at ENS Paris Saclay, as part of an ANR contract, with a consortium of six partners. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8214-ALEFRA-001/Candidater.aspx
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atmospheric plasma to treat fibrotic diseases. The agent will join the emerging Innovative Cancer Treatment team. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8175-LAUFOU-002/Default.aspx
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, 12 (1), 4093 Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5629-JOAVIG-003/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research
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will join Magali SUZANNE's team, Apoptosis-Dependent Morphogenesis, at the Center for Integrative Biology (CBI). Founded in 2016, the Toulouse Center for Integrative Biology (CBI; http://cbi-toulouse.fr
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days' annual leave, including RTT, for full-time work Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3228-ALEGAS-062/Candidater.aspx Requirements Research FieldMathematicsEducation
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to conduct his own research projects if the scientific scope is compatible with the ERC ATTRACTE (modulo machine time). This position is funded by the ERC Starting Grant ATTRACTE project (2023-2028, PI: G