501 engineering-computation "https:" "https:" "https:" "https:" "https:" "UCL" positions at Carnegie Mellon University
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hardworking high school students to serve as STEM Ambassadors for the CS Pathways summer program. This role is a fantastic opportunity for students interested in education, mentoring, and STEM fields who want
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laboratory technician to play a key role in detector development for high-energy physics experiments. Learn more about this exciting department at https://www.cmu.edu/physics/research/nuclear-particle.html
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experience and/or relevant industry expertise in one or more of the following areas: Software Engineering Data Analytics and Artificial Intelligence Cybersecurity Cloud Computing IT Entrepreneurship As a
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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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in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD
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with researchers, government customers, and other engineers, and contribute to technical strategy for the lab. Required Qualifications B.S. in Computer Science, Electrical Engineering, Statistics
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careers in the fields of science, technology, engineering or mathematics. The program provides instruction in biological sciences, chemistry, physics, mathematics, and computer science, with emphasis
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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Institute (HCII) is a living laboratory where we investigate the relationship between computer technology, human activity, and society. Founded in 1993, the HCII is a place where we work to understand and
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Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve