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Post-Doctoral Associate
The research will focus on hybrid AI modeling and agroecosystem sustainability, in collaboration with the AI-CLIMATE Institute (https://cse.umn.edu/aiclimate). The role involves building knowledge-guided machine learning (KGML) models for sustainable agricultural practices, developing AI-ready benchmark datasets, and reducing the uncertainty of national greenhouse gas (GHG) inventories. Duties/Responsibilities 70% Primary Research Focus: This postdoctoral associate will apply advanced knowledge-guided AI-modeling techniques to expand and enhance the robust monitoring of cropland carbon budgets. This involves integrating multi-modal data (e.g. remote sensing, eddy-covariance flux tower/chamber measurements, soil sampling), biogeochemical/physical process-based model, adva
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