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engineering, computer science, data science, geospatial statistics, or related discipline. Required Knowledge, Skills and Abilities: Familiarity with remotely sensed geospatial data products (UAS and satellite
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Basic proficiency related to geospatial analysis (e.g., ArcGIS, QGIS, Google Earth Engine). Strong oral and written communication skills. Experience working with and managing interdisciplinary research
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, crop yield). -Familiarity with geospatial data and tools (e.g., GIS, QGIS, Google Earth Engine). -Knowledge of explainable AI (e.g., SHAP, LIME), model interpretation, and/or uncertainty quantification
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: wildlife ecology, biogeography, conservation science, environmental science, habitat suitability modeling/geospatial analysis, field studies Description: The Institute at Brown for Environment and Society
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geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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projects to align data integration workflows with project-specific needs and technical requirements Develop Geospatial APIs and Containerized Serving Infrastructure: Build and document RESTful APIs (e.g
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of this research is assessing the fitness of geospatial indicators to inform conceptual and policy-relevant understanding of vulnerability processes for disaster risk reduction and climate adaptation. The researcher
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experience with remote sensing data and its analysis, and geospatial skills Strong statistical background Excellent English writing and verbal communication skills Ability to travel periodically for reports
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
, Javascript, or Matlab. Must have experience in analyzing remotely sensed imagery or other large geospatial datasets. Preferred Qualifications, Competencies, and Experience Experience working in high
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the Critical Infrastructure Resilience (CIR) Group in the Human Dynamics Section, Geospatial Science and Human Security Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL