13 lecturer-in-computer-science Fellowship research jobs at Carnegie Mellon University
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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fostering engaging and effective learning through the power of play. The ETC, a joint venture between CMU's School of Computer Science and College of Fine Arts, is renowned for its interdisciplinary, project
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fostering engaging and effective learning through the power of play. The ETC, a joint venture between CMU's School of Computer Science and College of Fine Arts, is renowned for its interdisciplinary, project
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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their time to advancing their creative writing, with occasional opportunities to teach. Applicants must be eligible for CMU?s Artists and Scholars at Risk Program and apply through the International Cities
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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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the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also
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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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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