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Field
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GIS applications (e.g., ArcGIS) and the integration of geospatial data for analyzing spatial patterns of inequality, innovation, or business activity. Demonstrated ability to work with U.S. Census and
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 2 months ago
understanding of physical and chemical processes in soils. You have experience with geospatial modeling and are proficient in a programming language relevant to data analysis (ideally R). Additionally, you
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skills in Python or R for geospatial analysis. Strong quantitative, communication, and scientific writing skills (papers, talks). Application Requirements Document requirements Curriculum Vitae - Your most
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: 279354599 Position: Postdoctoral Research Associate Description: The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems-analysis-group/ ) at the Andlinger Center for Energy and
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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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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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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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Associate in Citizen Participation in Science and Decision-making to contribute to innovative research at the intersection of social sciences, geospatial data, and experimentation. This position is tailored