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following programming languages: Java, JavaScript, Python. Demonstrated proficiency with one or more of the following frameworks: React, Spring, Hibernate. Understanding of cloud-based infrastructure, system
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, Environmental Science, Agronomy, Plant Science, Soil Science, Agricultural Engineering, or related quantitative field. • Demonstrated experience in GIS-based spatial analysis. • Experience with quantitative
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Required Qualifications PhD in Animal Science, Environmental Science, Agronomy, Plant Science, Soil Science, Agricultural Engineering, or related quantitative field. Demonstrated experience in GIS-based
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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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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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systems GPS or GIS software, Multispectral or NDVI data collection Basic statistical software (R, SAS, or similar) Programming experience (Python, Arduino, ROS, etc.) Familiarity with weed identification
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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