466 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" 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: Bachelor’s degree in Computer Science, Information Science, Computer Engineering, or a
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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drive impactful change in managerial and policy contexts. The Assistant Director of Executive Education – Program Delivery at Heinz College leads a suite of executive education programs and key marketing
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discoveries across a wide range of disciplines, including AI/ML, data science, medical imaging, weather modeling, cell biology, and genomics. As an Associate Computational Scientist, you will help researchers
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: 2024231 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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decentralized data and reporting across colleges, centers, and labs. Required Qualifications: Bachelor's degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related
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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 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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The Human-Computer Interaction Institute (HCII) is a living laboratory where we investigate the relationship between computer technology, human activity, and society. Founded in 1993, the HCII is a
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of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing