445 machine-learning-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber
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critical U.S. government needs. The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas: Applied Machine Learning and AI
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and assessing weld quality of mechanical parts in real-time by developing machine learning models that use sensor data and other tasks that are assigned to you. Core Responsibilities: Understanding
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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What We Do: SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia
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stakeholders. Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain). Strategy: You’ll
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stakeholders. Hands-on Prototyping: You’ll conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning in autonomy and uncrewed systems (multi-domain). Strategy: You’ll
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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 learning
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language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber
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critical U.S. government needs. The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas: Applied Machine Learning and AI