17 phd-rehabilitation-engineering-computer-science Fellowship positions at Carnegie Mellon University
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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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, 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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be disseminated through academic publications and online webinars. The successful candidate will have a PhD in human-computer interactions or computer science and related fields, with demonstrable
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Job Match for Similar Jobs About Carnegie Mellon University Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology
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at any time, with reviews taking place each spring. Applications are invited for the Mark Stehlik Postdoctoral Teaching Fellowship in the School of Computer Science at Carnegie Mellon University. This is a
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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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University Professor in the School of Computer Science) will contribute his expertise in artificial intelligence, while Prof. Lorrie Cranor (Director and Bosch Distinguished Professor in Security and Privacy
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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
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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