479 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at Carnegie Mellon University
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Mar-26 Location: Pittsburgh, Pennsylvania Type: Full-time Categories: Staff/Administrative Internal Number
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of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing
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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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-solving and reasoning skills Organization, planning and project management skills Qualifications: Bachelor’s degree in Computer Engineering or Computer Science, or an equivalent combination of education and
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for someone who shares our values and who will support the mission of the university through their work. Qualifications: Bachelor’s degree in neuroscience or related field (biology, engineering, computer science
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 05-Mar-26 Location: Pittsburgh, Pennsylvania Type: Full-time Categories: Staff/Administrative Internal Number
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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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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
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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