94 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" 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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, 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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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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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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mentoring undergraduate and graduate students,. Requires a PhD in engineering and neuroscience and a demonstrated record of research through publications. Submit applications to Interfolio Carnegie Mellon
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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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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