88 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Carnegie Mellon University
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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 Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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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
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recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary
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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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support the mission of the university through their work. Qualifications Bachelor's Degree in Computer Science and/or Software Engineering; Master's Preferred Experience in building software infrastructure
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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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comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved
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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