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in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python and/or R (geospatial stacks, data wrangling, visualization). Record of peer
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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modelling tools are required. Robust modelling and programming abilities (e.g., Python) are essential prerequisites. Experience with VIC (or similar hydrologic models), GIS, and large-scale computing
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production. Driving will be required as well. Several years of experience working in annual cropping systems, conducting laboratory-based bioassays and familiarity using GIS are all highly desirable
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cropping systems, conducting laboratory-based bioassays and familiarity using GIS are all highly desirable. Supervision Exercised Individual will be required to assist supervising temporary research