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Field
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. Experience with graph-based data analysis or anomaly detection methods. Exposure to high-performance or GPU-based computing environments. Demonstrated ability to contribute to publications or technical reports
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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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physics and electromagnetic (EM) theory/modeling, at the Electrical and Computer Engineering Department, and in collaboration with the Applied Mathematics Department, Santa Clara University. This is an in
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annually for three subsequent years subject to review. GENERAL DUTIES: Research in nuclear physics. The successful candidate will contribute to several aspects of the group's research program including
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; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding. POSITION
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high-performance computing are preferred; material science knowledge/expertise is a bonus. We are particularly looking for candidates interested in a long-term position with ARCTOS after the conclusion
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(MSD), and Quantum Information Science (QIS) programs Disseminate results through high-impact publications and presentations at internal and external meetings Position Requirements Position Requirements
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• Microbiology, particularly of non-model organisms • Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data • High-throughput
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devices and high-speed detectors 2. Circuits: Analog circuits for Neuromorphic computing Qualifications: PhD required at the time of hire 1-year analog circuit design experience preferred Know how to design
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-purpose programming language and experience with high-performance computing. Publications in peer-reviewed scientific journals. Application Requirements Document requirements Curriculum Vitae - Your most