468 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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discoveries across a wide range of disciplines, including AI/ML, data science, medical imaging, weather modeling, cell biology, and genomics. As an Associate Computational Scientist, you will help researchers
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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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, interdisciplinary master’s degree programs in information networking, security and mobile and IoT engineering that incorporate business and policy perspectives. The Information Networking Institute is seeking a full
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: 2024231 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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The Human-Computer Interaction 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
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, engineering, or mathematics. The program provides instruction in biological sciences, chemistry, physics, mathematics, and computer science, with emphasis on collaborative learning and team research. We
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to healthier, cleaner, more efficient future for all. The Department of Chemical Engineering is seeking a full-time Research Assistant for the Grossmann research lab. Core Responsibilities: Follow research plans
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through their work. Qualifications: Bachelor’s degree in IT, computer science, human computer interaction, graphic, design, media production, or other related fields 2+ years of experience in UX design and
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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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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