466 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData"-"BioData" positions at Carnegie Mellon University
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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are seeking paid research interns for Summer 2026 (~12-14 weeks). We’re a full-stack, interdisciplinary group working across modeling, simulation, computational design, digital fabrication, human-centered tools
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 08-Mar-26 Location: Pittsburgh, Pennsylvania Type: Full-time Categories: Staff/Administrative Internal Number
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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curious to deliver work that matters, your journey starts here! Carnegie Mellon’s School of Computer Science (SCS) is widely recognized as one of the first and the best computer science programs in
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robotics to brain science to entrepreneurial start-ups, CMU is shaping the future. If you are curious, motivated, and passionate about STEM, this is your chance to be part of that future. We are seeking
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an intern! Our dynamic team includes writers, editors, designers, and multimedia developers who share the stories of our college by translating innovative technical, scientific, and engineering-based content
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through interdisciplinary research and education in design, computer science, and behavioral and social sciences. We research how people work, play, and communicate within groups, organizations, and social
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our Advanced Computing Lab, you will work with a team of electrical engineers and computer science researchers on analyzing and improving mission system performance metrics through the use of novel AI