505 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Carnegie Mellon University
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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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citizens. The Critical Technology Initiative at CMU is looking for a Post-Doctoral researcher to advance an analytic research program to inform innovative technical and policy solutions. As a researcher, you
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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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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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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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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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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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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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. 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