336 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Carnegie Mellon University in United States
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What We Do At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of Artificial Intelligence
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strong continuing research program and potential for mentoring and advising undergraduates. All qualified candidates are encouraged to apply. This appointment requires teaching a Computational Linear
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curious to deliver work that matters, your journey starts here! The Department of Engineering and Public Policy (EPP) is a unique department in the College of Engineering at Carnegie Mellon University which
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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
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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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the disciplines of engineering, design, and business, we can build impactful solutions that create value for real people. Carnegie Mellon University’s Metrics for Technology Products & Services course is looking
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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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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
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extracurricular activities (e.g., reading groups, internal talks, technical sharing) and contribute to a strong technical culture. Requirements Education / Experience: BS in Electrical Engineering, Computer
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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