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electrophysiology to investigate the neural substrates of motor learning in healthy subjects and during stroke recovery. Competitive applicants will have experience with one or more such techniques and a track record
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
detectors. This enormous field of view allows the Array to achieve cadences as fast as one second across the entire sky, while also conducting a deep survey by combining 6-10 hours of observations each night
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
of view allows the Array to achieve cadences as fast as one second across the entire sky, while also conducting a deep survey by combining 6-10 hours of observations each night. Over a five-year survey
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
of view allows the Array to achieve cadences as fast as one second across the entire sky, while also conducting a deep survey by combining 6-10 hours of observations each night. Over a five-year survey
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
detectors. This enormous field of view allows the Array to achieve cadences as fast as one second across the entire sky, while also conducting a deep survey by combining 6-10 hours of observations each night
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the development of clinical deep learning and other machine learning models to enable improved diagnosis, prognostication, and prediction of treatment response for bladder cancer, specifically related to endoscopic
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on several NSF and NIH-funded projects focusing on metacognitive processes and self-regulated learning across learners, STEM, and biomedical learning tasks and domains, using serious games, simulations, and
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for the development of a focused research agenda and trajectory. • Gain a deep understanding of cancer disparities from a biology to policy perspective. • Build collaborative networks across disciplines and academic
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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•Other studies in development are focused on routes of community transmission of RSV and use of deep metagenomic sequencing to evaluate for Streptococcus pneumoniae carriage in children Qualifications