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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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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 modelling
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Engineering, Environmental Science, or a related field, preferably with expertise in large-scale catchment hydrology, remote sensing, or climate impact assessments. Candidates with interdisciplinary backgrounds
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sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in
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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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are the impacts on individuals, households, markets, the agri-food system at large, and the environment? MIXTAPE will leverage existing national datasets (including remotely sensed data) and will conduct a mixed
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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