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archaeological finds. Conducting geospatial analyses in GIS, including work with LiDAR data, aerial imagery, and other remote sensing data. Developing a webGIS platform to host field-collected data, legacy
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integrating GIS-based spatial analysis with energy demand and supply assessments of other subprojects within EmPowerED, this PhD project will support the development of Positive Energy Districts (PEDs) in
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critical data studies and willingness to reflect on data use and circulation. Demonstrable skills in scientific writing and data analysis. Knowledge of GIS and R and/or Python as a tool for data analysis
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