479 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University in United States
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of information technology, and to lead and implement change in managerial and policy contexts. Carnegie Mellon University’s Heinz College is searching for a part-time Research Associate to join Professor Lee Branstetter’s
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& statistical mechanics, and topology. Familiarity or expertise in formalization and computer-aided reasoning in mathematics is an added plus. Exceptional candidates in all areas will also be considered. In
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at Carnegie Mellon University invites applications for an Assistant Teaching Professor to begin September 1, 2026. Candidates with sufficient qualifications and experience may also be considered
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of the research process. Your work will be supervised by Dr. Matthew Denes (Assistant Professor of Finance, Carnegie Mellon University). Core responsibilities include: Obtain and manipulate data from various
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. The position will also be a part of the Pre-College Programs team that supports the operation of the office as well as program logistics including logistics related to outside-of-the-classroom experience
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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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Job Description: Teaching Assistant, Business Administration Department at CMU-Q The Business Administration program at Carnegie Mellon University in Qatar (CMUQ) invites applications for a Teaching
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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. The position will also be a part of the Pre-College Programs team that supports the operation of the office as well as program logistics including logistics related to outside-of-the-classroom experience
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machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision