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parity-check codes and iterative decoders, investigating applications of quantum error correction in quantum computers and networks. We are interested in candidates with strong expertise in burst error
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statistical approaches. A fundamental understanding of Deep Neural Networks as applied to high-frequency time series datasets, including the ability to design and implement custom NN models in PyTorch, as
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of neural activity with control of defined circuit elements and utilizing imaging, optogenetics, anatomy, high-density freely moving neurophysiology, behavior, and computation. Ideal candidates will have a
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the research through dissemination of results: presentations. Development of extramural funding opportunity proposals. Basic competence in statistical analysis software. Participate in trainings with T32 Post
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for growing bioenergy–sorghum focused. The role combines gene network modeling with ecophysiological modeling, integrating a wide variety of phenotypic data to improve bioenergy cultivation practices
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nuclear systems and neutrino dynamics. Qutrit-based and hybrid quantum-classical approaches for many-body simulations. Tensor network and entanglement-based methods in many-body physics. Knowledge, Skills
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researcher with a strong background in cell and molecular biology of cancer and cancer therapeutics/drug discovery development. This project will be defining targets of therapy in a variety of human and murine
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here . Duties & Responsibilities Perform research and develop a software platform related to deep learning and security/privacy. Mentor and collaborate with undergraduate, masters students, and Ph.D
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meetings, supervising/mentoring graduate and undergraduate students). Additional duties as assigned. Knowledge, Skills, and Abilities: Advanced Python and ArcPy programming skills. Advanced v-sri software
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conduct water budget analysis and project future water supply under various climate change and land use scenarios and provide guidance for designing an observational network in Arizona. This will be a great