472 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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of Computer Systems and/or Software Engineering. Outstanding candidates in other areas are also encouraged to apply. Qualifications Have completed a bachelor’s degree in computer science or related fields by
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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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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The Computer Science Department (CSD
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Visiting Associate Professor for the 2026-2027 academic year. This position, created through a gift of Eugene P. Shelly, is intended for experienced mathematics faculty members on leave or sabbatical from
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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 place where we work to understand and
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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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robotics to brain science to entrepreneurial start-ups, CMU is shaping the future. If you are curious, motivated, and passionate about STEM, this is your chance to be part of that future. We are seeking
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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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our Advanced Computing Lab, you will work with a team of electrical engineers and computer science researchers on analyzing and improving mission system performance metrics through the use of novel AI
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our Advanced Computing Lab, you will work with a team of electrical engineers and computer science researchers on analyzing and improving mission system performance metrics through the use of novel AI