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-oriented problems involving optimization, artificial intelligence, workflow redesign, and stochastic assembly line balancing. The position will involve close collaboration with industry partners
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. The selected candidate will work with Dr. Yuzhen Lu to develop and test automated field-deployed sensing/harvesting systems that may integrate machine vision, artificial intelligence, and mechanisms for
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using diverse data sources, including field-collected biological samples, on-farm sensor data, artificial intelligence–derived outputs, and video-based analytics, to support disease surveillance and
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