13 postdoctoral-image-processing-in-computer-science-"EPIC" Fellowship positions at Carnegie Mellon University
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who shares our values and who will support the mission of the university through their work. Qualifications: Ph.D. in a relevant field such as Learning Sciences, Human-Computer Interaction, Education
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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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who shares our values and who will support the mission of the university through their work. Qualifications: Ph.D. in a relevant field such as Learning Sciences, Human-Computer Interaction, Education
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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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Carnegie Mellon University’s Robotics Institute is searching for a Postdoctoral Fellow to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging
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robotics, cybersecurity, sensing and signal processing, smart mobility and energy systems. In addition, they are using their expertise in interdisciplinary research initiatives across the university. We
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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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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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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