375 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at Carnegie Mellon University
Sort by
Refine Your Search
-
Listed
-
Field
-
decisions regarding software design and technology selection including hands-on development activities. Requirements: BS in Computer Science, Software Engineering, Computer Engineering, or a related field
-
and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia
-
reasoning for mathematics (e.g., SAT/SMT solvers, first-order theorem provers) Machine learning for mathematics (e.g., model architectures for theorem proving, data-driven exploration of mathematical
-
in artificial intelligence and machine learning and using artificial intelligence to support reverse engineering and malware analysis Why work here? Join a world-class organization that has significant
-
advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government
-
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
-
). 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
-
, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
-
advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government
-
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