366 computer-"https:"-"https:"-"https:"-"https:" uni jobs at Carnegie Mellon University
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Computing is a plus Why Carnegie Mellon? We are dedicated to fostering an inclusive and diverse environment. We encourage candidates from all backgrounds to submit their applications. We are an employer
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: 2024148 CMU's Computing Services department is searching for a Change Management Lead. This is an excellent opportunity for someone who thrives in an interesting and exciting work environment. You will be
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The Human-Computer Interaction
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these tools in their daily work. That's where you come in. Computing Services, the central IT group, needs someone who can help faculty, staff, and students use AI to enable them more productive. You'll partner
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The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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use it across our own education, research, and operations? We're figuring that out — and we want you to join us in Computing Services, the central IT group, in crafting the solution. This role sits
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Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve