350 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "U.S" positions at CNRS
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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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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Université (Paris 05), in the team CONFID (COuches Nanométriques Formation Interfaces Défauts). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7588-JEACAN-002/Default.aspx Requirements Research
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https://emploi.cnrs.fr/Offres/CDD/UMR6614-THIBES-064/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldChemistryEducation LevelPhD or equivalent Research
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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the Swiss team led by Christophe Ballif (EPFL/CSEM). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9006-JEAGUI0-017/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD
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students working in the fields of industrial economics and innovation, energy economics, and environmental economics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9217-NADLEV-001/Default.aspx
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recommendation, at least one of which must be written by the supervisor of your Master's thesis. - Proof of your academic results in the form of official transcripts. Where to apply Website https://emploi.cnrs.fr
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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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, L. Estel, Analysis of thermal runaway events in French chemical industry, Journal of Loss Prevention in the Process Industries, 62 (2019) 103938. https://doi.org/10.1016/j.jlp.2019.103938 2. Y. Wang