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Field
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R
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degree or a good honours degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field with three or more years of research / relevant work experience. Applicants
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”. Qualifications Applicants should: (a) have a PhD degree in Remote Sensing, Geomatics, GIS, Computer Science, Photogrammetry or a related field, and must have no more than five years of post-qualification
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building and maintaining collaborations between GeoCommons and units across the University system, as well as individuals and organizations working in GIS in Minnesota's public, private, non-profit, and
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hydrological conditions is an advantage Experience with machine learning models and hydrologic/hydraulic modeling Strong familiarity with tools such as SWMM and GIS Proficiency in programming and data analysis
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(GIS), data analysis and visualization software, database management tools, applications for complex statistical analysis, and intermediate level programming. The position is full-time and offers State
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applications in research projects Design and/or instruct user oriented workshops or tutorials (two hours to week long) on GIS, geospatial data and remote sensing Participate actively in research projects
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, Japanese history (esp. early modern), historical geography, GIS, programming (esp. Python) and computer science, statistics and data science, text mining, natural language processing, demography, economics
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job discipline. Certifications: --- Preferred Qualifications Education: Master’s degree in data science or related field. Experience: Experience with geospatial analysis and visualizations (GIS
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required. Knowledge, Skills and Attitudes: Power BI, GIS, PPT, or other data visualization tools SQL, Python, R for data extraction and statistical analysis Excel (Advanced) for modeling, scenario planning