328 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Carnegie Mellon University
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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We are seeking a highly skilled Resiliency Automation Engineer to join our team supporting embedded systems development in a regulated environment. This role will blend software engineering
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Temporary Data Engineer (with Apache Airflow 2.0 and 3.0 experience) - Temporary Employment Services
-on training and experience Competitive benefits Opportunities for long-term career growth Carnegie Mellon University's Temporary Employment Services (TES) is seeking a Temporary Data Engineer with Apache
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engineering and data teams to ensure learning data is structured for analysis and improvement cycles. Capacity Building and Collaboration Support national and institutional partners in strengthening local
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Department of Carnegie Mellon University has an exciting opportunity for a Postdoctoral Fellow. The SAT4Math project is developing solver technology that makes advanced SAT-based reasoning broadly accessible
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About the Role Are you an engineer who enjoys a challenge? Are you excited about working for an FFRDC focused on areas critical to national security? Do you want to join a collaborative team that
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University's Department of Mechanical Engineering
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About the role Are you an engineer who enjoys a challenge? Are you excited about working for an FFRDC focused on areas critical to national security? Do you want to join a collaborative team that
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Introduction to Machine Learning Staff TA - College of Engineering - Integrated Innovation Institute
the disciplines of engineering, design, and business, we can build impactful solutions that create value for real people. Carnegie Mellon University's Introduction to Machine Learning course is looking for a
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering