24 engineering-computation "https:" "https:" "https:" positions at Carnegie Mellon University
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for teaching relevant coursework on Computational Finance in the Computer Science Department. Typical duties include, but aren't limited to: Planning and creating lectures, in-class discussions, and assignments
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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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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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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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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 05-Mar-26 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 182578 The Computer
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. The university is internationally recognized for its computer science, artificial intelligence, engineering, business, science, humanities, and fine arts programs, with a strong emphasis on innovation and
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applications for this job through MathJobs.Org right now. Please apply at https://cmu.wd5.myworkdayjobs.com/CMU/job/Pittsburgh-PA/Innovation-Engineer---Office-of-the-Vice-President-for-Research_2023697
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Carnegie Mellon University (CMU) – a global leader in education, research, and innovation across computing, artificial intelligence, engineering, science, business, arts, and public policy – invites
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, electrical and/or computer engineering with a focus on computer vision/machine learning. Strong programming skills, Python, Pytorch, Large Vision Models, Multimodal Foundation Models, Transfer Learning. Three