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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: The Information Technology Services Directorate at the Oak
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Position Details Position Information Internal Posting? Posting Number SP005180P Position Title Research Associate I - Spatial Data Division/College College of Natural Resources Department Forest
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working knowledge of GIS platforms (e.g., ArcGIS, QGIS) and spatial data analysis techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping
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on complex problems involving the development of new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread
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analyses of the relevant scientific literature; ii) spatial mapping and entomological monitoring in urban and rural settings; iii) installation, management, and maintenance of traps for vector Culicidae; iv
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they continue to investigate. Approaches include genetics, spatial genomics, single-molecule biophysics, super-resolution imaging, computational modeling, and structural studies including X-ray
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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Multivariate statistical analysis of community and environmental datasets Spatial analysis and georeferencing of ecological data using GIS Development and implementation of species distribution models
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the enigma of the stećci tombstones(STONE). This position offers a unique opportunity to shape cutting-edge geoarchaeological approaches to medieval landscapes, integrating micro-scale sediment analysis with