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Field
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of hydrological datasets Utilizes programming tools (e.g., Python, R, MATLAB, Excel) for data analysis, statistical modeling, and data visualization, along with familiarity with geospatial and data visualization
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techniques. Proficiency in R, Python, or MATLAB for data processing, geospatial analysis, and statistical modeling. Experience with time series analysis, spatial mapping, and oceanographic data interpretation
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qualifications: Experience creating informative web-based data visualization, especially with geospatial data (e.g. maps). Successful candidates will be expected to lead and collaborate on research projects full
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-scale hydrologic modeling and remote sensing Skills in programming languages (e.g., Python, R, or FORTRAN) Research skills and interests in geospatial analysis (e.g., processing satellite datasets), data
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/index.html) and the Geospatial Snow, Water, and Ice Resources Lab (GeoSWIRL; https://arcg.is/0ObXba) at Montana State University are recruiting a Postdoctoral Fellow. The postdoc will focus on developing and
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity
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sciences, Geology, or closely related field). Degree must have been received within the past four years. Preferred skills: Experience with Microsoft Office products. Experience using geospatial software
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science capabilities to form School of Earth and Planetary Sciences: The School provides world-class training for geoscientific and geospatial careers through our industry-recognised teaching programs, and
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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to conduct biogeochemical and geomorphological research, including field data collection and analysis using remotely sensed imagery and geospatial data. The scholar will conduct scientific literature reviews