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science and engineering, ceramics engineering, chemical engineering, chemistry, physics, or another closely related field from an accredited institution. Applicants must have conducted prior research work
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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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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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, metallurgical engineering, polymer science and engineering, ceramics engineering, chemical engineering, chemistry, physics, or another closely related field from an accredited institution. Applicants must have
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, metallurgical engineering, polymer science and engineering, ceramics engineering, chemical engineering, chemistry, physics, or another closely related field from an accredited institution. Applicants must have
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infrastructure assets into live cyber-physical systems Environmental microbiology Wastewater treatment Emerging contaminants Advanced treatment processes Water chemistry and reuse Air pollution and air quality
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into live cyber-physical systems Environmental microbiology Wastewater treatment Emerging contaminants Advanced treatment processes Water chemistry and reuse Air pollution and air quality Appointments
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infrastructure assets into live cyber-physical systems Environmental microbiology Wastewater treatment Emerging contaminants Advanced treatment processes Water chemistry and reuse Air pollution and air quality