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information systems, spatial statistics, or a related discipline you have demonstrable experience with quantitative spatial research approaches and land use change analysis you have affinity with
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 9 days ago
resources and their ecosystems. The PhD supervisory team brings together complementary expertise in spatial modelling, marine ecology, fisheries science, and maritime spatial planning. Internal collaborations
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, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging
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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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, 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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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
on the study of human tumors through the use of multiple genomic technologies. The methods used include gene expression profiling using bulk RNAseq and scRNAseq, DNAseq, and spatial transcriptomics. The main
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genomic approaches is to explore clinically relevant aspects of brain tumor biology. We pursue this goal using patient samples profiling, investigating temporal and intra-tumoral/spatial heterogeneity as
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continuité spatiale inédite depuis l'espace. Contrairement aux observations ponctuelles classiques, SWOT restitue la structure spatiale complète de l'état hydraulique le long d'un tronçon de fleuve à chaque
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environmental management or policy. Experience with spatial and spatiotemporal statistical models Experience with diet analyses and/or predator–prey modelling. Experience with trophic ecology methods such as
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communities • Multivariate statistical analysis of community and environmental datasets • Spatial analysis and georeferencing of ecological data using GIS • Development and implementation of species