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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and
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. The Postdoctoral Associate will manage and execute the core research activities of the project. Responsibilities include assembling and harmonizing large datasets from experimental trials, remote sensing, soil
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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying
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the core research activities of the project. Responsibilities include assembling and harmonizing large datasets from experimental trials, remote sensing, soil health databases, and farmland markets
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catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds are welcome, but strong data-analytics skills and solid knowledge of process-based numerical
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remote appointment with possible 12-month on-site extension contingent on available work, funding, and performance. Anticipated Division of Time 75% Research. Conduct quantitative and qualitative social