484 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "University of St" positions at Carnegie Mellon University
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& Computer Engineering, Computer Science, Information Technology, or a closely related field Strong interest in supporting high?quality research aligned with CMU Africa?s mission of driving digital
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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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What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence
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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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addition to this load, successful candidates are expected to conduct research in collaboration with CMU-Q faculty or local partners. We are particularly interested in candidates in the areas of Computer Systems
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CMU in Qatar CMU in Qatar (CMUQ) operates in concert with several other American and European branch campuses under the umbrella of Qatar Foundation’s Education City (https://www.qf.org.qa/education
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designed to involve: close work with Professors Lindsay Larson and Anna Mayo at Heinz College on a sponsor-funded project; mentorship and time to advance a research program in the area of human-AI teaming
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Applied Translation MA program during the Fall 2026 semester. The course will be conducted in English. Candidates must have multilingual and have Master?s degree or beyond in linguistics, language and
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of experience, an MS with 8 years of experience, or a PhD with 5 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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curious to deliver work that matters, your journey starts here! The Biomedical Engineering Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex