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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying
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datasets, geospatial and remote sensing tools (e.g., Google Earth Engine). Grid modeling and planning, either through development of bespoke capacity expansion and/or production cost models, or application
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measurements; Collaborate with multidisciplinary teams to integrate remote sensing data with field observations and other datasets; Publish research findings in high-impact peer-reviewed journals and present
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catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 9 hours ago
with additional knowledge of Stata or Python. Knowledge of machine learning, geospatial analysis, or spatial statistics are a plus. Duties and Responsibilities A Postdoctoral Fellow (""postdoc"") is a
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enables bold, interdisciplinary science to advance our understanding of geological hazards and Earth processes in one of North America's most complex and geologically active regions. Summary: The postdoc
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potentially using a mix of remote sensing, vegetation/habitat data, field data, and camera trap data to model connectivity for large mammal species and/or migratory birds. Expected project outputs will include
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
fellows to work on a project funded by the US Department of Agriculture under the supervision of Prof. Conghe Song. One post-doc will focuse on remote sensing of vegetation, and the other will focus
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). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P