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duties as assigned. Requirements: Doctorate Degree in Computer Science, Electrical Engineering, or a related field. Strong background in computer vision and deep learning. Proven record of first-author
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CMIST is a university-wide institute that integrates Carnegie Mellon’s leadership in computer science and engineering with its distinguished tradition of interdisciplinary research. Combining
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that cross disciplines. We approach scientific problems from fresh angles using creative interdisciplinary approaches while drawing on our strengths in the core social sciences. Tepper faculty members
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design, robotics, computational engineering, advanced manufacturing, and bioengineering. In addition, they are using their expertise in interdisciplinary research centers across the university. We
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or microworlds, conduct laboratory studies, and construct computational cognitive models including paradigms in Cognitive Science (Instance-Based Learning models) or AI (Reinforcement Learning). The fellow will
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to combine the practical and the theoretical, the Robotics Institute has diversified its efforts and approaches to robotics science while retaining its original goal of realizing the potential of the robotics
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to combine the practical and the theoretical, we have diversified efforts and approaches to robotics science while retaining the original goal of realizing the potential of the robotics field. Carnegie Mellon