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creating the fastest algorithms for modeling of entanglement purification circuits; creating the highest performance quantum error detection circuits; developing symbolic computer algebra systems for quantum
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independently associated with different projects related to non-destructive testing and evaluation of civil infrastructure. The candidate is expected to perform both fundamental and applied researches and need
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performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the scientific
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for extension based on performance and funding availability. The position is immediately available. Review of applications will continue until the position is filled. The initial appointment will be for one year
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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/benefits/benefits-overview . Posting Summary Support research in an externally funded program investigating neuronal stress responses and the hypoxia-response. The Rongo laboratory within the Waksman
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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
or high-performance computing environments. - Strong background in statistical modeling and machine learning, especially applied to spatiotemporal data. - Familiarity with urban systems, urban emissions
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Performance Computing & Linux • A proven track record of peer-reviewed publications Preferred Qualifications • Experience with US3D CFD software • Experience developing numerical CFD methods for integration
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Lab The EMERGE lab at NYU is seeking to hire a postdoc to work on scaling and deploying end-to-end RL planning agents for autonomous vehicles. Based on prior work on creating high performing self-play