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following qualifications and experiences: Experience with developing or applying ecosystem models (e.g., SWAT-Carbon, CLM, EPIC, DNDC, and DayCent) Experience with analysis of geospatial data and time series
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(GAM) and statistical and geospatial software (R, ArcGIS, QGIS) is strongly preferred. What You Need to Know Salary: Compensation for this position is commensurate based on the selected candidate’s
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officially awarded their PhD will be appointed as Research Assistant. Expertise in geospatial data analysis, including remote sensing Expertise in cloud physics, preferably cirrus clouds Aircraft performance
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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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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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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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Supervising graduate research assistants and student interns. Required Qualifications: Terminal degree in a related field; Knowledge of and experience in geospatial information systems, crop modeling