436 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at Carnegie Mellon University
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of experience, an MS with 8 years of experience, or a PhD with 5 years of experience in Computer Science, Electrical Engineering, or a related field. You’ve worked in a collaborative team environment as a
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: 2024092 Are you an excellent writer looking for an internship opportunity that will build your skills, portfolio, and network? The College of Engineering Marketing and Communications team is looking to hire
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curious to deliver work that matters, your journey starts here! The Biomedical Engineering Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex
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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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Are you an excellent writer looking for an internship opportunity that will build your skills, portfolio, and network? The College of Engineering Marketing and Communications team is looking to hire
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decisions regarding software design and technology selection including hands-on development activities. Requirements: BS in Computer Science, Software Engineering, Computer Engineering, or a related field
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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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curious to deliver work that matters, your journey starts here! The Biomedical Engineering Department at Carnegie Mellon University is renowned for its interdisciplinary approach to solving complex
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the disciplines of engineering, design, and business, we can build impactful solutions that create value for real people. Carnegie Mellon University’s Metrics for Technology Products & Services course is looking
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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