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database management and analysis, including the use of statistical software (namely R, SPSS, STATA, or Python) and, preferably, geospatial analysis tools (QGIS, ArcGIS, or equivalents); Knowledge in applied
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skills: Experience processing and analyzing diverse geospatial environmental data products. Experience developing, testing, and refining machine learning models. Experience developing HPC workflows
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process with Okanogan-Wenatchee National Forests and create geospatial tools for wildfire, prescribed burning, and cultural burning related smoke trade-off analyses and quantitative forest landscape
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. Moreover, we expect applicants to have excellent skills in quantitative methods (using Stata or R). Skills in designing survey experiments, working with geospatial data and experience with comparative survey
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infrastructure, enabling sophisticated geospatial, isotopic, geochemical and temporal analyses of critical mineral systems. Develop and implement data models following FAIR data management guidelines and tools
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Experience working with geospatial data Desirable technical requirements: Experience with the ISSM ice sheet model or other ice sheet models Experience with the UM and/or ACCESS-AM2 atmosphere model, or other
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Slavery and War (Comparative Contexts) Research Fellow in Slavery and War (Trends and Indicators) Research Fellow in Slavery and War (Geospatial and Data Science) Research Fellow in Slavery and War
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Slavery and War (Comparative Contexts) Research Fellow in Slavery and War (Trends and Indicators) Research Fellow in Slavery and War (Geospatial and Data Science) Research Fellow in Slavery and War
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Slavery and War (Comparative Contexts) Research Fellow in Slavery and War (Trends and Indicators) Research Fellow in Slavery and War (Geospatial and Data Science) Research Fellow in Slavery and War
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Slavery and War (Comparative Contexts) Research Fellow in Slavery and War (Trends and Indicators) Research Fellow in Slavery and War (Geospatial and Data Science) Research Fellow in Slavery and War