270 structures "https:" "https:" "https:" "IMT Atlantique" Postdoctoral positions at CNRS in France
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and the Environment) or the INFLANET European Training Network. We strive to create an environment where all individuals are valued, respected, and supported. For more info: https://lphi.umontpellier.fr
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the project. The position will involve travel for work-related assignments. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5267-FABHIR-005/Candidater.aspx Requirements Research
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. The successful candidate will join these two projects to help optimise them using the instrument simulations obtained. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8617-VIRKAT-009
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office hours. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3278-NATTOL-035/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic
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neuroimaging data constrained by patient's structural connectivity and tractography • Using the results of the TVB model fits to stratify patients and predict disease progression • Organizing and unifying
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experimental, analytical, and computational platforms to support the project. https://www.get.omp.eu/ The work carried out during this post-doctoral contract will be integrated into the ERC StG LEAPHY project
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and data analysis related to structural studies to be carried out in situ and operando using diffraction techniques (X-rays, neutrons). The activities involve setting up diffraction experiments and
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, in particular to forming brain and cardio-vascular structures. We now seek a post-doctoral researcher to test the hypothesis that exposure to mixtures of pthalate plasticizers and perfluorinated acids
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3d colloidal model system. Background information: https://paddyroyall.github.io/padrus/Work_amoeba.html Publications of interest : https://paddyroyall.github.io/padrus/Publications.html Systems in
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the flexibility and power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will