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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
-scale data processing and analysis Preferred Qualifications, Competencies, and Experience Experience with implementation of coaddition algorithms and high-performance computing Experience with large
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architectures and training algorithms, uncertainty quantification, high-dimensional stochastic systems and high-dimensional partial differential equation systems. Multiple positions available. About the T-5 Group
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that integrate simulation, machine learning, and data analysis. Numerical optimization methods (e.g. machine learning including deep neural networks, reinforcement learning, data mining, genetic algorithms
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algorithms and codes for AI-enabled digital twin technologies. Design advanced numerical algorithms for partial differential equations and optimization problems related to digital twin technology. Implement
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applications. Hands-on work with Verasonics Vantage or similar programmable ultrasound systems. Practical experience implementing image-reconstruction algorithms. Demonstrated skill in handling mouse and rat
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expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL
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with Verasonics Vantage or similar programmable ultrasound systems. Practical experience implementing image-reconstruction algorithms. Demonstrated skill in handling mouse and rat neonates or adults
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29761BR Ecology & Evolutionary Biology Position Overview The Kelly, Macdonald and Unckless research groups use a range of genetic, genomic, and statistical techniques to address basic questions in
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expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface