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What We Do: The 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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of Engineering. The student body includes approximately 200 undergraduate, 80 Masters, and 100 PhD students. The collaborative faculty includes 21 tenure-track and 2 teaching-track faculty complemented by courtesy
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What We Do: The 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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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
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, machine learning, data modeling, computational linguistics, and cultural analytics. Candidates with PhDs from a wide variety of disciplines are welcome - the initiative is interdisciplinary and will involve
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, machine learning, data modeling, computational linguistics, historical analysis, and cultural analytics. The Teaching Track at Carnegie Mellon is a career-focused, non-tenure faculty path with renewable
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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What We Do: The 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
-
a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation