77 structural-engineering "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Carnegie Mellon University
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, electrical and/or computer engineering with a focus on computer vision/machine learning. Strong programming skills, Python, Pytorch, Large Vision Models, Multimodal Foundation Models, Transfer Learning. Three
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Mellon University Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy
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for Similar Jobs About Carnegie Mellon University Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and
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Professor Oppenheimer’s laboratory, with opportunities to explore questions in metacognition, decision making, reasoning, pedagogy/education, and how technology shapes cognition. Postdocs will conceive and
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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curious to deliver work that matters, your journey starts here! The Information Networking Institute (INI) at Carnegie Mellon University (CMU) educates and develops engineers through technical
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of the mandatory document listed below will be REJECTED and not considered for the role. Applications should be sent to https://cmu.wd5.myworkdayjobs.com/CMU Applications MUST contain the 3 mandatory files listed
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curious to deliver work that matters, your journey starts here! The Human-Computer Interaction Institute (HCII) is a living laboratory where we investigate the relationship between computer technology
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research and field explorations. Physical Grounding and Scene Understanding - Build perception pipelines that connect visual and multimodal observations to structured representations of the physical
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research and field explorations. Physical Grounding and Scene Understanding - Build perception pipelines that connect visual and multimodal observations to structured representations of the physical