465 systems-science-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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(AI) technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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expertise, automation, and toolchain development to ensure our codebase is stable, secure, and maintainable. In this role, you will collaborate closely with development, verification, and operations teams
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At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering challenges related to the practical design and implementation of AI technologies and systems. We
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At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. Our technical staff collaborates closely with leadership
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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: 2024268 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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This position is based onsite at the SEI's customer location at Eglin AFB in Florida. This is not a remote position. Position Summary: This position within the Software Engineering Institute (SEI
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generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research