463 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University in United States
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for someone who shares our values and who will support the mission of the university through their work. Qualifications: Bachelor’s degree in neuroscience or related field (biology, engineering, computer science
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of Client Services will partner with stakeholders across Carnegie Mellon University, shaping and prioritizing the technology services provided to enable and support university wide research, teaching and
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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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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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, which include a capstone project course, a Fellows program, and a range of public-facing events and convenings such as the Emerging Tech Showcase. Joining CSL offers the opportunity to work at the
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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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, document, and maintain DR Plans with Computing Services and other CMU Technology departments for infrastructure, systems, data, security, and third-party systems. Exercises. Plan, facilitate, and document DR
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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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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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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC