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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 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 | about 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 | 13 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 | 13 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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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The postdoctoral research associate will work closely with the Ko Research Group to develop novel theories and algorithms for studying
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Correction & Quantum Computing Algorithms 4. Supervising Graduate & Undergraduate Students Homepage of Sangmo Cheon’s group https://sites.google.com/view/sm-cheon-group-homepage/home Position Details Duration
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machine learning algorithm to improve the modeled surface meltwater in the Goddard Earth Observing (GEOS) model. Advocating and adapting the model based on collaborator feedback is key to the success
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neuroscience to investigate the emergence and progression of psychopathology. Develop novel computational tools, algorithms, and analytic pipelines to characterize brain network representations underlying mental
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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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