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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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, HTML page formatting, uploading and formatting content in the learning management system, copy-editing, researching graphics and learning objects, securing and tracking copyright permissions, and media
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of the instructional design team. Performs a variety of tasks including migration of courses to a new LMS, HTML page formatting, uploading and formatting content in the learning management system, copy-editing
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, and math skills. Good computer skills to include proficiency in keyboarding and working with standard PC software. Ability to learn and use department specific computer programs. Ability to problem
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: • Ability to learn and utilize computer software designed for law enforcement • Good attention to detail • Good communication skills • Good interpersonal skills • Ability to use good judgement and make
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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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/machine learning (AI/ML), and other research fields. Assists with building, optimizing, and maintaining the integrity of supercomputing and other research systems under direct supervision. Assists in
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), coastal hazard assessment, model coupling, model calibration, and validation. Experience with machine learning and statistical/probabilistic analysis. Strong programming/scripting capabilities and high