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Institute, and School of Computer Science, with extensive opportunities for collaboration, mentorship, and professional development. Project Overview: Our projects try to understand the needs for, develop
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algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing. Responsibilities: Write code and develop novel
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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course with existing syllabi, lesson plans, and assessment strategies, then adapting and making it your own b) Designing a new course from scratch, to be taught in the spring, developed in
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the fellows, promote their research, and develop their careers. As part of the interdisciplinary goals of this project, fellows are funded to spend at least one semester working with someone outside