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University of California, Los Angeles | Los Angeles, California | United States | about 24 hours ago
Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
& speech processing, and telecommunication systems. Within the ESAT department this position will be linked with STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics. STADIUS
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have nine academic departments with undergraduate and graduate programs, the Kristin Farmer Autism Center, the Center for Public Management, the UNT Speech and Hearing Center, the UNT Work Inclusion and
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and reasoning to prioritize tasks; computer skills including word processing, spreadsheet software, and/or database software preferred; demonstrated human relation and effective communication skills
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ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may also work with diverse signal modalities, including vision, speech
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Electrical and Computer Engineering - Full Professor - 530362 Tuscaloosa, Alabama, United States Engineering Tenure/Tenure-Track Faculty Closing at: Mar 31 2027 - 22:55 CDT Department/Organization
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innovation in engineering and computer science, that its programs academically prepare our graduate students and post-doctoral scholars to advance the boundaries of science and engineering, and that our
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processing are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/) and the
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processing are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Electrical and Computer Engineering (ECE: https://ece.eng.ua.edu/) and the
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AI, computer vision, multimodal models, natural language processing, and other domain-specific models. • Familiarity with Linux based research computing environments including command line tools and