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to work on project “Crop Yield Forecasting using Crop Models and Remote Sensing”. This position will apply knowledge and skills in crop modeling and remote sensing to design simulation experiments
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The Scientific Analyst II will work closely with Dr. Laura Condon to build and analyze remote sensing data products of the hydrologic landscape. Work will involve data processing, workflow development
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. Demonstrated record of interdisciplinary collaboration across environmental or related fields. Demonstrated capacity or potential in quantitative methods, data science, machine learning, remote sensing, and/or
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in gathering soil, plant and water samples, conducting measurements, and utilizing handheld devices for remote sensing data collection. Knowledge of agriculture. Ability to troubleshoot technical