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to the processing and analysis of data from the test phases. • Ensure implementation in compliance with ethical standards, IT security, and data confidentiality. • Contribute to documentation, project reports, and
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station, computer, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-191/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD
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the physicochemical properties of alternative blowing agents and the final foam performance. They will also test the new formulations under conditions that simulate industrial processes (casting, spraying, high
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300mm etching reactors located in CEA/Leti's clean rooms. It will involve : 1) Create the lithographic design adapted to requirements (GDS) 2) develop/optimize plasma etching processes for AlGaN and GaN
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- integration within the BioDiv team at IBENS - availability of work station, computer, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-189/Candidater.aspx
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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networks. - Results analysis, processing and presentation. - Dissemination of results through the writing of scientific articles. The project will be conducted within the GPPMM research group at the XLIM
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their characteristics calibrated using the fine-grained procedure used by Coulomb et al. (2023). This research will be carried out at the CNRS Centre International de Recherches sur l'Environnement et le
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hemorrhage. This study plans to recruit 15 patients requiring surgery and who will have two ultrasound and MRI examinations planned. The first objective is to assess the presence of neovascularization in
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organizing and conducting field sampling and measurement campaigns. They will be responsible for acquiring data, processing results, and promoting the knowledge gained. Their mission will be to characterize