94 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" research jobs at Carnegie Mellon University
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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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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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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-sensory-guided behavior. The lab uses animal behavior, optogenetics, multi-area in vivo electrophysiology, and computational modeling tools to study information flow between cortical and subcortical brain
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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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