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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5126-EMIBAS-021/Default.aspx Work Location(s) Number of offers available1Company/InstituteCentre d'études spatiales de la
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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, Besançon). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6049-JEAFOL-001/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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11 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Etudes en Géophysique et Océanographie Spatiales Research Field Environmental science Environmental science » Earth
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8067-DAMCHE-014/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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perforation, and the partial encapsulation or/and amorphisation of the 2D materials. The originality of our project is to design the spatial organisation and density distribution of phonon scattering centers
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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Postdoctoral researcher in the analysis of single-cell and spatial transcriptomics experiments (M/F)
progression. The selected candidate will perform single cell and spatial transcriptomic analysis. - Cell preparation for transcriptomic analysis. - Data mining using pipelines developed by the laboratory
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an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media