486 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Carnegie Mellon University in United States
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advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government
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& statistical mechanics, and topology. Familiarity or expertise in formalization and computer-aided reasoning in mathematics is an added plus. Exceptional candidates in all areas will also be considered. In
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programming languages (preferably Python) Experience with training AI/ML models Experience with adversarial machine learning techniques Experience with red-teaming cyber and/or AI systems Basic understanding
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or instrumentation frameworks (e.g., Frida, QEMU, Unicorn Engine) General understanding and experience in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering
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). General understanding and experience in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering and malware analysis Why work here? Join a world-class
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Line Coaching Preferred candidates will have experience with Playcalling / Coordinating, Recruiting experience with high academic institutions. Knowledge of computer software for film breakdown and
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programming languages (preferably Python) Experience with training AI/ML models Experience with adversarial machine learning techniques Experience with red-teaming cyber and/or AI systems Basic understanding
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powerful systems for high-performance computing (HPC), artificial intelligence / machine learning (AI/ML), high-speed communications, and large-scale data storage for unclassified research. Our work drives
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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 learning to provide leap-ahead mission
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university's creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The Computer Science Department (CSD