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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Experience with implementation of photometric and time-series detrending algorithms and high-performance computing Experience with large software projects, including proficiency across the software development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
Experience with implementation of photometric and time-series detrending algorithms and high-performance computing Experience with large software projects, including proficiency across the software development
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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, especially the toroidal spectrometer, construction and commissioning of the MOLLER detector at Jefferson Lab ● Development of the SOLID software framework, tracking algorithms, DAQ subsystem and various
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. This project employs massive-scale genome sequencing, data that will enable a wide range of novel, independent projects. The project also involves a substantial theoretical component including algorithm
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skills Excellent scientific writing ability and good communication skills Knowledge of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job