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focusing on optical sensor modeling, image formation processes and computational methods for highly complex image analysis, i.e. satellite images. The research will also focus on methods to extract spatial
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, integration, and validation for environmental and forest monitoring. Familiarity with remote sensing, cartography, and spatial data analysis using specialized software and tools will be considered a significant
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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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MINFLUX: data acquisition and new data/analysis tools Spatial Chemical Composition using label-free-IR imaging Converting cryo-electron tomograms into images for WCMs and Minecraft Studies on organelles in
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analysis of legal, regulatory and governance settings. Functional Digital Twins are envisaged to support local implementation and scaling of climate adaptation measures. The investigator group will work in a
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Doctoral Researcher in Transportation Engineering, Travel Behaviour Modelling, and Sustainable Mobility Systems The doctoral researcher will be embedded in the Spatial Planning and Transportation (SPT
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African research centres to enable independent analysis and local ownership of spatial data systems. The project’s research portfolio includes methodological innovation in geostatistical model development
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial
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by a Full Professor, of which currently two positions are open. AUDE integrates architecture with engineering to address complex spatial challenges, focusing on creating resilient built environments