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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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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration. The Human-Computer Interaction
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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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or Autonomous & Sensor Technology PhD in AI, Machine Learning, Robotics, Engineering, Physics or Chemistry is preferred Co-founder of one or more investor backed startup(s) C-Suite experience in investor backed
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Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
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and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government organizations, and industry to continually improve software
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. Demonstrated team related skills with the ability to lead and participate in multidisciplinary teams. Excellent reasoning and problem-solving skills. Knowledge in machine learning and artificial intelligence
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curious to deliver work that matters, your journey starts here! The Machine Learning Department (MLD) is a leading hub for research and education in artificial intelligence and machine learning. It focuses
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curious to deliver work that matters, your journey starts here! The Machine Learning Department (MLD) is a leading hub for research and education in artificial intelligence and machine learning. It focuses
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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