8 algorithm-development-"Multiple"-"Simons-Foundation"-"Washington-University-in-St" positions at Carnegie Mellon University
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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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candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. Specific
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from multiple disciplines and institutions. RESPONSIBILITIES: Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused
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development. Familiarity with AI tools and APIs (e.g., OpenAI, Hugging Face, or similar). Excellent communication and teamwork skills. Demonstrated ability to manage multiple tasks and meet deadlines. A
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and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue
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on developing innovative algorithms and models to address sophisticated problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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well as develop and deliver advanced training. This is an excellent opportunity if you thrive on the opportunity for collaboration with complementary groups across PSC, particularly Computational Biology, User
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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