185 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions at CNRS in France
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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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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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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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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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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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, biophysics, and quantitative modeling, and provides strong opportunities for scientific exchange and collaboration at national and international levels. Where to apply Website https://emploi.cnrs.fr/Offres/CDD
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Institute for Applied Geophysics). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5243-HELOUR-075/Candidater.aspx Requirements Research FieldGeosciencesEducation LevelPhD or equivalent
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public transport + private parking. • Financial contribution towards health insurance costs. The study is part of the national PEPR program "Decarbonization of industry" Where to apply Website https
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collaboration between the Exa-SofT and the Exa-DI projects and better support multi-linear algebra and tensor contractions in exascale CSE applications and Machine Learning. As part of the collaborative process
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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