1,093 high-performance-quantum-computing-"https:"-"https:"-"https:" Postdoctoral positions in United States
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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include quantum phases of matter, quantum computing, quantum error correction, non-equilibrium physics, critical phenomena, open quantum systems, and quantum simulation. This is a full-time position for
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lead efforts to develop experimental techniques using conventional and coherent imaging in the ultrafast time domain, as well as a computational framework for modeling and reconstructing images
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knowledge gaps in high-pressure science and publish the results in scientific journals. The initial appointment is for two years and may be extended to a third year, contingent on performance, project
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interfaces. Programming and HPC: Strong scripting and data analysis skills; experience with high-performance computing environments and job schedulers. Demonstrated ability to work in multidisciplinary teams
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are preferred. The Department of Computational Biology provides access to high-performance computing clusters, a cloud computing environment, innovative visualization tools, highly automated analytical pipelines
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Position Title Post-Doc Research Associate - Center of Excellence for Eating Disorders (CEED) and Carolina Athletics Mental Health and Performance Psychology Program (MHPP) Vacancy ID PDS004696 Full-time
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errors of metabolism. The fellow will provide clinical support to the Emory MNT4P Program and Metabolic Genetics Clinic, as needed. The fellow will collaborate with PI and other team members on protocol
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capabilities. Key Responsibilities: Capturing requirements and analyzing specifications for future detector systems Performing conceptual design and system-level optimization using emerging computing