14 phd-rehabilitation-engineering-computer-science Fellowship positions at Carnegie Mellon University
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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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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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used for CSAF deposition and characterization. • Other duties as assigned. Qualifications: Preferred applicants will have, or be close to completing, a PhD in physical science or engineering. They should
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: 2023567 The Entertainment Technology Center (ETC) at Carnegie Mellon University invites applications for a Postdoctoral Research Fellow to innovate upon the design and development of our innovative playful
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The Entertainment Technology Center (ETC) at Carnegie Mellon University invites applications for a Postdoctoral Research Fellow to innovate upon the design and development of our innovative playful
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-Oct-25 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 175717 The Computer Science
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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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of Physics, Computer Science, Machine Learning, and Statistics, and enjoys close relationships with the University of Pittsburgh’s Department of Physics and Astronomy. Carnegie Mellon’s physics faculty hold
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of employment) in cognitive science; human factors engineering, engineering or computer science with experience in behavioral science. A technical background is required regardless of the Ph.D. degree
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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer