416 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" uni jobs at Carnegie Mellon University
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the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here! Our Computing Facilities department within
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computer technology, human activity, and society. Founded in 1993, the HCII is a place where we work to understand and compose technology that harmonizes with and improves human capabilities, goals, and
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with researchers, government customers, and other engineers, and contribute to technical strategy for the lab. Required Qualifications B.S. in Computer Science, Electrical Engineering, Statistics
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Intern position is a part-time position intended for a student enrolled in a student affairs graduate program or related field. The Graduate Intern will work 17 hours per week. The anticipated internship
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: 2024059 About the role The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI
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: 2024058 About the role The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI
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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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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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curious to deliver work that matters, your journey starts here! The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University is renowned for its interdisciplinary approach
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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