94 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Carnegie Mellon University
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CMIST is a university-wide institute that integrates Carnegie Mellon’s leadership in computer science and engineering with its distinguished tradition of interdisciplinary research. Combining
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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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-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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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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, 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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Bachelor's Degree in Computer Science or a related field; Master's Degree in Software Engineering preferred. Experience in academic environments within higher education Experience in a master's degree program
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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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, 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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Computer Science, AI, Machine Learning, Computer Engineer or a related field. Strong background in machine learning and machine learning frameworks Proficiency in Python and deep learning frameworks A combination of