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carbon flow through different pools. Projections will use field data as well as available geospatial climate, land use, and soil data. You will do this in close collaboration with project partners from
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 hours ago
Purpose of Department The Department of Earth, Environmental and Geographical Sciences (https://geoearth.charlotte.edu/) is a diverse community of physical, geospatial, and social scientists composed
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options and certificates • 35k+ students including more than 2.3k international students and 10k students of color • 217k+ alumni worldwide • For more interesting facts about OSU visit: https
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on Just and Equitable Cities (https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1
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(https://centerforcities.aap.cornell.edu/initiatives/overview ). We invite applications from candidates who will have completed their Ph.D. degree no earlier than September 1, 2020, in City Planning, Urban
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sciences. Required Certifications or Licensure: No Required Certifications or Licensure Primary Function of Organizational Unit: The Department of EOS (https://uncw.edu/earsci/) offers the following degrees
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Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Working with the U-Spatial team, this position will support geospatial research across the University
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would have strong experience in some of the following areas: quantitative and qualitative data collection and analysis, geospatial data analysis, urban design, data visualization, and community engagement
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 3 months ago
maps. In this context, the development of automated solutions for georeferencing and vectorisation could enhance the integration of historical documents into geospatial databases, promoting preservation
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generate the corresponding code. • Exploring new approaches to the management and visualization of large volumes of data, especially in geospatial or real-time contexts. A duration of 12 months is estimated