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The position will involve developing new mathematical/computational methods at the intersection of scientific computing and machine learning. At a high level, the project is to build neural network models
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for a qualified, creative, highly motivated postdoctoral scholar to conduct research at the intersection of robotics, controls, and machine learning. The successful candidate will help shape next
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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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