379 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Carnegie Mellon University
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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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: 2023954 AI/ML Vulnerability Analysis Intern What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and
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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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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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collaboration pathways and keep the lab connected to emerging practice. Requirements Education / Experience BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant
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collaboration pathways and keep the lab connected to emerging practice. Requirements Education / Experience BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant
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strong background with hands-on experience solving problems in one or more of the following technology areas: Applied Machine Learning and AI: Research and implement machine learning principles, techniques
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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
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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