472 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Carnegie Mellon University in United States
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in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD
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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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Computer Science, Mathematics, Engineering, Physics, or a related technical field Minimum 10 years of experience developing manipulation planners for autonomous robots Minimum 10 years of experience writing, testing
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in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD
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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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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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What We Do: 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 works
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. The Department seeks strong candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance
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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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Carnegie Mellon University (CMU) – a global leader in education, research, and innovation across computing, artificial intelligence, engineering, science, business, arts, and public policy – invites