146 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of Kansas
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Position Overview The Program Coordinator for Student Learning and Risk Reduction in Fraternity and Sorority Life plays a pivotal role within the university's Student Affairs team, aligning with the mission
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31770BR Sorority and Fraternity Life Position Overview The Program Coordinator for Student Learning and Risk Reduction in Fraternity and Sorority Life plays a pivotal role within the university's
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software, edge/cloud/high-performance computing hardware, machine learning accelerators, hardware security, quantum computing, and quantum communications. Applicants must have earned a doctorate in Computer
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supporting all FMS classrooms and production spaces, including but not limited to the sound stage, recording studio, animation and computer labs. The person in this position will be responsible for managing
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of the Wingspan: Center for Learning and Writing Support and the culture of learning at the University of Kansas by collaborating with the Program Coordinator, Tutoring, in the coordination of Wingspan’s peer
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: An NIH-funded clinical trial designed to develop a mobile health app that uses machine learning to predict likelihood of relapse in adolescents who are recovering from anorexia nervosa. BEST-U: an NIH
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experiential learning opportunities. 5% - Supports, promotes, and participates in educational outreach. Conducts law-related workshops and educational seminars for the University community. Advises Student
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assigned by Director. Mentor student interns, fostering experiential learning opportunities. 5% - Supports, promotes, and participates in educational outreach. Conducts law-related workshops and educational
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machine learning methods. Provide theoretical predictions to guide experiments, and atomic-scale physical understanding to experimental observations. Publishing findings in peer-reviewed journals
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are particularly interested in exceptional individuals with expertise in one or more of the following areas, including but not limited to: computer vision, artificial intelligence, cyber-physical systems, robotics