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at the University of Texas at Arlington (UTA) seeks applicants for an Assistant Professor tenure track position in Organizational Behavior OR Human Resources. The preferred applicant will have completed their PhD in
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, Department Manager, Associate Director of Academic Program Operations and other key leaders. Manages course scheduling; manages student academic records and the quarterly registration process for PhD students
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professionals at undergraduate and graduate levels, promotes lifelong learning, and enhances the well-being of individuals, children, and families residing in rural, urban, and military communities throughout
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Robotic Systems, including computer vision (including video analysis and 3D reconstruction), machine learning (including big data analytics and adversarial machine learning), natural language processing
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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of the relationships between hypertension, its treatment, and ADRD risk among U.S. veterans, (2) statin use and ADRD risk and burden with quasi-experimental approach and machine learning methods, as well as (3) ongoing
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Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping
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dynamic team. In this role, you’ll support the PhD program and assist with Master’s programs as needed. You’ll be a key point of contact for graduate students, helping them navigate academic requirements
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State University of New York University at Albany | Albany, New York | United States | about 23 hours ago
fundamental questions about human cognition and the brain by integrating cutting-edge neuroscience methods with innovative computational approaches such as artificial intelligence (AI), machine learning
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research staff. The scientific scope is broad and varied, including proving theorems, high-performance implementations of mathematical algorithms, practical machine learning, and statistical data analysis