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or Associate Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine
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Assistant or Associate Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of
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Associate/Full Professor of Artificial Intelligence/Machine Learning in Geological Sciences - 521302
or Full Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine
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Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine-learning
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or Associate Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine
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Professor rank tenured/tenure-track positions at the interface of Artificial Intelligence (AI)/Machine Learning and Physics and Astronomy, Chemistry and Geological Sciences, as part of a machine-learning
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Postdoctoral position. This position is available to individuals with research interests in applications of machine learning and artificial intelligence to wearable sensor data for nutrition research. Publishes
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, Managers, System/Site Reliability Engineer, and Research Software Engineers, hydrologic modelers, and experts in geographic information systems, artificial intelligence and machine learning, and databases
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. The Postdoctoral Fellow position will lead research in Artificial Intelligence, Machine Learning, and Data Science, focusing on applications within healthcare and education sectors. Designing generative AI
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interests in emerging areas of statistics and data science, including but not limited to artificial intelligence, machine learning, big data analytics, computational and Bayesian methods, are encouraged