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representations for decision-making and control of aerial robots, ground vehicles, quadrupeds, and humanoids. We are particularly interested in candidates who can bridge algorithmic innovation with real-system
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary
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, and computer graphics, to identify existing research, methodologies, and advancements. Designing and developing innovative algorithms, models, and techniques for solving complex problems in computer
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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facilitated more than 120,000 conversations. Designing and running experiments to examine how AI systems shape human beliefs; developing rigorous methods to evaluate and mitigate persuasive risks; and creating
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in