466 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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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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equipment that support University events on and off campus, also resident equipment associated with technology enhanced facilities. Ensure all of the audio-visual presentations and equipment is configured
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned educational institutions. With groundbreaking brain science, path-breaking
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC
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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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, 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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citizens. The Critical Technology Initiative at CMU is looking for a Post-Doctoral researcher to advance an analytic research program to inform innovative technical and policy solutions. As a researcher, you
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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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Python, R, or MATLAB. Knowledge of systems biology and integrative approaches to studying microbial communities. Experience in mentoring and teaching Qualifications: A Ph.D. in Computational Science
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following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing (HPC