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methods for spatial transcriptomics, advanced microscopy, volumetric imaging, neuronal activity mapping, and multimodal data analysis, with an initial focus on neuroscience. To build this interdisciplinary
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, champ électrique, densité des espèces réactives) reste difficile, puisque les mesures doivent allier bonnes résolutions spatiale et temporelle tout en étant non intrusives. Les diagnostics optiques
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, champ électrique, densité des espèces réactives) reste difficile, puisque les mesures doivent allier bonnes résolutions spatiale et temporelle tout en étant non intrusives. Les diagnostics optiques
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on different temporal and spatial scales, using deterministic models and, if necessary, high-performance computing. SCIENTIFIC DISCIPLINARY SECTOR: GEOS-04/C-Oceanography, Meteorology and Climatology PHIS-05/B
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Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics
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in Spatial Omics and Multi-Modal Data Integration Duties & Responsibilities: Develop computational and machine learning methods for spatial omics data (spatial transcriptomics, spatial proteomics
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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development
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Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Working with the U-Spatial team, this position will support geospatial research across the University
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8067-DAMCHE-015/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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on research project “Development of advanced multilevel inventory method for GHG fluxes from agricultural organic soils using spatially-explicit data” (Acronym: LIFE OrgFluX-PL) funded by the European Climate