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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 control. Lead
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to understand the underlying mechanisms and develop predictive capabilities. The project aims to apply deep learning and artificial intelligence to make predictions using imperfect data and partial knowledge
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to engage in artificial intelligence (AI) and machine learning (ML) applications, including the development of mobile tools for the State of Michigan and the Great Lakes region. These tools will address
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relations. We also encourage applications from scholars whose work explores the intersection of artificial intelligence (AI) and advertising, including its implications for communication strategies, consumer
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researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF) and