486 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Carnegie Mellon University
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: Bachelor's Degree in Computer Science, Computer Engineering, AI or a related field. Experience with Python programming and Deep Learning frameworks (PyTorch). Experience with Large Language Models (LLMs) and
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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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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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: 2024148 CMU's Computing Services department is searching for a Change Management Lead. This is an excellent opportunity for someone who thrives in an interesting and exciting work environment. You will be
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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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, which include a capstone project course, a Fellows program, and a range of public-facing events and convenings such as the Emerging Tech Showcase. Joining CSL offers the opportunity to work at the
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their work. Qualifications:Empty heading Bachelor's Degree in Computer Science, Computer Engineering, AI or a related field. Experience with Python programming and Deep Learning frameworks (PyTorch
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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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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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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