453 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Carnegie Mellon University
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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
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and experience in Engineering, Information Technology, Computer Science or another related area. 3-5 years of business development or fundraising experience Bachelor's degree required (M.B.A. or a
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CMIST is a university-wide institute that integrates Carnegie Mellon’s leadership in computer science and engineering with its distinguished tradition of interdisciplinary research. Combining
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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 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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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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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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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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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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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