460 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Carnegie Mellon University
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or a closely related discipline is required. We seek a candidate to serve as an Innovation Engineer for the Institute of Computer-Aided Reasoning in Mathematics (ICARM), a new NSF Mathematical Sciences
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Carnegie Mellon University (CMU) – a global leader in education, research, and innovation across computing, artificial intelligence, engineering, science, business, arts, and public policy – invites
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The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues
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Software Engineers to work at the intersection of state of the art computer science and cutting edge astrophysics. The engineers will design and build analysis frameworks that run on the cloud or high
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curious to deliver work that matters, your journey starts here! The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University is renowned for its interdisciplinary approach
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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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collaboration Required Qualifications: Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field 4+ years of professional experience developing full
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curious to deliver work that matters, your journey starts here! The Department of Engineering and Public Policy (EPP) is a unique department in the College of Engineering at Carnegie Mellon University which
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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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. The Department seeks strong candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance