185 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" Postdoctoral positions at CNRS in France
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another startup. The successful candidate will enjoy the benefits of being based at the CNRS site (catering, access to public transport). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7504
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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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. The project is carried out in a collaborative research environment. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9025-DANCOM-005/Candidater.aspx Requirements Research FieldPhysicsEducation
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supervision of Dr. Bajenoff (http://www.ciml.univ-mrs.fr/fr/science/lab-marc-bajenoff/immunobiologie… ). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7280-MARBAJ-024/Candidater.aspx
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research
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to field sites made possible by a multi-year project supported by the IPEV. The results are likely to have fundamental and applied implications and a strong impact. Where to apply Website https
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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
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university cafeteria. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7006-JOHSCH-009/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent Research
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. This convergence is particularly visible in Saclay's area where a large community of computer scientists is structured around the PIC code Smilei, and where several ultra-high intensity laser facilities
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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring