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learning methodologies. The underlying data are complex and will require sophisticated data management and integration skills. A candidate should have proficiency with GIS software and Python, strong written
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tools: Tableau or PowerBI. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Advanced proficiency in at least one of the following programming languages: R or Python. Physical Requirements
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
. Job Overview The Department of Geography and GIS at the University of Cincinnati, Ohio, seeks a fellow in geography, geospatial artificial intelligence (GeoAI), and spatial data science for its Charles
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, Hydraulics, or related fields. Proficiency and experience in hydrologic and hydraulic modeling tools such as HEC-HMS, HEC-RAS, SWMM, InfoWorks, LISFLOOD, and SFINCS. Proficiency in GIS software (e.g., ESRI
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Postdoctoral Scholar to conduct research for an NIH-NSF funded project on human health, movement, and infectious diseases. Successful applicants will have experience in: either spatial analysis using GIS
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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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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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procedures used in spatial data analysis and vegetation dynamics modeling is required. The candidate should have extensive practical experience in the use of R and GIS. Demonstrated skills of Bayesian modeling
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong