302 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Dip" positions at Carnegie Mellon University
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In Carnegie Mellon University's Department of Mechanical Engineering (MechE), faculty members, researchers, and students are revolutionizing focus areas in artificial intelligence (AI), engineering
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technology research, such as AI, computer science, engineering and robotics, CMU is now poised to strengthen its support and commitment for innovators and founders across all domains. During its first decade
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collaborative. Computer Science at Carnegie Mellon is also distinctive for our research style, educational programs, commitment to diversity, culture and organizational structure. We are seeking a Research
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collaborative. Computer Science at Carnegie Mellon is also distinctive for our research style, educational programs, commitment to diversity, culture and organizational structure. We are seeking a Research
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. The College of Fine Arts is developing an interdisciplinary research and production center, focused on technology and performance. This initiative is housed in the former Pittsburgh Filmmakers building at 477
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. The College of Fine Arts is developing an interdisciplinary research and production center, focused on technology and performance. This initiative is housed in the former Pittsburgh Filmmakers building at 477
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Systems & Management to foster a uniquely interdisciplinary educational setting. We equip learners to harness data, technology, and analytical insight to generate meaningful outcomes. We are looking
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structured logical reasoning (e.g., Math) and open-ended human reasoning (e.g., Medical), ultimately contributing to new methods for Large Language Model (LLM) post-training and alignment. Core
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Who we are: Are you an engineering student who enjoys a challenge? Are you excited about working for an FFRDC focused on areas critical to national security? Do you want to join a collaborative team
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that bridge structured logical reasoning (e.g., Math) and open-ended human reasoning (e.g., Medical), ultimately contributing to new methods for Large Language Model (LLM) post-training and alignment. Core