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scholar to conduct research at the intersection of robotics, controls, and machine learning. The successful candidate will help shape next-generation approaches for autonomous multi-robot systems
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in Agriculture • Machine learning models for pest and disease prediction • Crop classification using multispectral imagery • Digital twin models for farm simulation and management • Collaborate with
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systems, machine learning, and control theory. Experimentally validating these methods through field experiments. In addition to conducting research, the Postdoctoral Scholar will collaborate closely with
Searches related to machine learning
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