490 engineering-computation "https:" "https:" "https:" "https:" "Univ" positions at Carnegie Mellon University
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-sensory-guided behavior. The lab uses animal behavior, optogenetics, multi-area in vivo electrophysiology, and computational modeling tools to study information flow between cortical and subcortical brain
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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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in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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with researchers, government customers, and other engineers, and contribute to technical strategy for the lab. Required Qualifications B.S. in Computer Science, Electrical Engineering, Statistics
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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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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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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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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 place where we work to understand and
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, electrical and/or computer engineering with a focus on computer vision/machine learning. Strong programming skills, Python, Pytorch, Large Vision Models, Multimodal Foundation Models, Transfer Learning. Three