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The Human-Computer Interaction Institute (HCII) is a living laboratory where we investigate the relationship between computer technology, human activity, and society. Founded in 1993, the HCII is a
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, reinforcement learning, probabilistic modeling, and language-guided autonomy. Core Responsibilities: Conduct independent and collaborative research aligned with the themes above Mentor PhD and MS students Lead
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, co-design, and joint decision making Required Qualifications: B.S. in Computer Science, Engineering, Mathematics or equivalent experience (M.S. or PhD is a bonus). 1-3 years combined graduate academic
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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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their work. Qualifications: PhD in Electrical and Computer Engineering, Biomedical Engineering, Mechanical Engineering or a related field. A combination of education and relevant experience from which
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learning, multimodality, multilingual NLP, and multimedia. The LTI has some 30 faculty, about 125 PhD/MS research students, and 357 professional MS students. It has six degree programs, ranging from
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in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering and malware analysis Why work here? Join a world-class organization that has significant
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in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering and malware analysis Why work here? Join a world-class organization that has significant
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of statistics and machine learning. Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts
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vehicle validation. Design and implement machine learning models that capture the complexity and variability of real-world traffic situations, including unusual pedestrian behaviors, edge cases, and multi