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Program
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sustainability, environmental systems, and spatial data Skills in the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants
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, and analysis of spatial data, using Geographic Information Systems and Artificial Intelligence (AI), and integrating multiple technologies and methods (for example: geographic and statistical databases
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About the Opportunity Job Summary Conduct spatial analysis and statistical modeling to evaluate cannabis cultivation density patterns across tribal, private, and boundary lands. Develop refined
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, Spatial light modulators (SLMs). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7639-LUCROV-001/Default.aspx Work Location(s) Number of offers available1Company/InstituteLaboratoire
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collaborative digital inquiry and sustained attention to the spatial and intellectual frameworks embedded in Sahelian historical writing. The fellow will conduct sustained comparative analysis across manuscript
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methodology and public policy research on marginalized mountainous and highland areas Additional training in the field of spatial data analysis (GIS) and statistical data processing (SPSS Statistics or R
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multimodal expansion (“ImmunoPixel‑seq”). Work includes NGS data processing, spatial barcode mapping, single‑cell & spatial analysis, and cell segmentation in brain, tumor, and other tissues. Purpose
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performing computational analysis of cutting-edge sequencing datasets. S/he will be in charge of the analysis of single-nucleus RNA/ATAC-seq and spatial transcriptomics data from brain tumor patient samples
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and immune trafficking models. High-Resolution Imaging: Proficiency in spatially-resolved multiplexed imaging and confocal whole-mount tissue analysis. scRNA-seq: Experience designing 10x Genomics
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Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary