14 postdoctoral-image-processing-in-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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to healthier, cleaner, more efficient future for all. Carnegie Mellon University’s department of Chemical Engineering is seeking a highly motivated and talented postdoctoral researcher with expertise in
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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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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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experiments within the predetermined research scope and methodology of department and university. Engage in directed research projects related to computer vision and AI areas. Also includes leading data
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December 10th. As part of a three-year project funded by the John Templeton Foundation, we seek to hire three postdoctoral fellows in the study of science, mathematics, and philosophy of mathematical
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experiments within the predetermined research scope and methodology of department and university. Engage in directed research projects related to computer vision and AI areas. Also includes leading data
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Venkatesh, Michael Harris, Simon Rubinstein-Salzedo), computer science (Dana Randall, Scott Aaronson), cognitive science (Thalia Wheatley, Tyler Marghetis, Carina Curto), and philosophy (Edouard Machery, Nick
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Administration, Biological Sciences, Computer Science, and Information Systems. PhD in Psychology, preferably in Social Cognition, by time of application or by August 1, 2026. Teaching experience Experience
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under the mentorship of the project director, Prof. Simon DeDeo, and a board of advisors in mathematics (Akshay Venkatesh, Michael Harris, Simon Rubinstein-Salzedo), computer science (Dana Randall, Scott