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molecules using site-specific conjugation strategies. - Development of DNA origami scaffolds to spatially organize and orient proteins for structural studies by single-particle Cryo-Electron Microscopy
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analysis of in situ measurement data and spatial remote sensing data - Participation in the scientific supervision of students - Participation in national and international mobility programs The project is
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tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and
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of ASICs dedicated to the readout of AC-LGAD (Alternating Current coupled Low-Gain Avalanche Diode) sensors, capable of very good timing (~30 ps) and spatial (~20 um) resolutions, which will be exploited by
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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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expertise in biostatistics and spatial data analysis. - Expertise in machine learning. - Advanced expertise in signal processing (accelerometric/gyroscopic and acoustic). - Experience writing scientific
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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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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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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