17 computer-science-image-processing 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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Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science
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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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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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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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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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depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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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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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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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