486 computer-science-intern "https:" "https:" "https:" "https:" positions at Carnegie Mellon University
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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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to solve some of the most difficult software challenges that our government faces. Requirements: Current enrollment in a degree granting program such as Computer Science, Electrical Engineering, Computer
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AI/ML Vulnerability Analysis Intern What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and
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AI/ML Vulnerability Analysis Intern What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and
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to solve some of the most difficult software challenges that our government faces. Requirements: Current enrollment in a degree granting program such as Computer Science, Electrical Engineering, Computer
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned educational institutions. With groundbreaking brain science, path-breaking
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: You understand that technology problems areoften people problems. You have a track record of evolving organizational culture without compromising the team's spirit. Qualifications: Bachelor’s degree in
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Computational Biology Department (CBD) is renowned for its interdisciplinary approach to studying biological systems using computational methods. Faculty and researchers collaborate across fields such as computer science
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC