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from the United States. The second objective focuses on data-driven approaches in agricultural sciences. The Research Associate will collect and analyze hyperspectral imaging data and develop Artificial
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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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data and develop Artificial Intelligence (AI) prediction models for agricultural production traits. This will involve the integration of AI imaging methods with phenomics to generate predictive tools and
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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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skills in written English, independent of Artificial Intelligence Desired/Preferred Qualifications: Two to five years of copy editing and fact checking experience Experience with layout and/or graphic
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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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the agricultural industry. Applicants that leverage machine learning, neural networks and/or artificial intelligence approaches are encouraged to apply. Location: The position will be based at Michigan State
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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
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sciences, genetic/genomic data analysis, image analysis, machine learning and deep learning, artificial intelligence, precision medicine and health outcomes, and physics and astronomy. We encourage
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of production agriculture. The successful candidate will develop a collaborative program with faculty with expertise in such areas as sensors/sensing, machine vision, artificial intelligence, big data and data