465 computer-science-quantum-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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The Office of Enrollment Management at Carnegie Mellon University is seeking a dynamic, student-centered professional to lead the Tartan Ambassador program—an integral part of the university’s
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. Qualifications: Bachelor’s degree required. Three to five years of event planning, customer service, or guest relations experience. Familiarity with Salesforce preferred. Knowledge of various computer applications
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of experience, an MS with 5 years of experience, or a PhD with 2 years of experience in Computer Science, Electrical Engineering, or a related field. You’ve worked in a collaborative team environment as a
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system specifications, test procedures, and user guides. Provide on-site and remote support for system commissioning and upgrades. Who you are: You have a BS in Computer Science, Electrical Engineering, or
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: 2024202 Carnegie Mellon University's department of Athletics is searching for an (Senior) Associate Head Coach in its NCAA Division III program. The direct position group in which this position will be
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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
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at Carnegie Mellon University, a global research university annually rated among the best for its programs in computer science and engineering. Learn more about Careers at the SEI. The Technical Communications
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sponsors Willingness to guide and mentor junior team members Requirements A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10
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Computer Science, Mathematics, Engineering, Physics, or a related technical field Minimum 10 years of experience developing manipulation planners for autonomous robots Minimum 10 years of experience writing, testing
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis