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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
is seeking a researcher with a track record in big data analysis and large language models. The applicant is expected to be a skilled, independent researcher, with experience in grant and paper writing
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-clinical and clinical evaluation, large-scale pre-licensure field studies, and post-licensure assessments. Training is a critical component of our work to ensure the foundation for the next generation of
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climate data, project management and an interest in infectious diseases and climate science. Education: PhD in biostatistics, epidemiology, climatology, meteorology, or related fields Preferred Experience
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. The Shop Class for Democracy initiative consists of a large series of online deliberative forums for all first-year students across all OSU campuses, casting off a large amount of survey data. The project
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with background in community-based environmental science (preferably with experience on analytical chemistry, field sampling, and Indigenous Knowledges) geographic data science (e.g., data management
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
is seeking a researcher with a track record in big data analysis and large language models. The applicant is expected to be a skilled, independent researcher, with experience in grant and paper writing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
and large-scale biobank data. Background in high-dimensional data analysis, longitudinal data analysis, functional data analysis and latent class modeling. Experience in analyzing large genomic/imaging
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) during in situ electrocatalysis. Synchrotron X-ray experiments during in situ electrocatalysis. Write code (Python or similar) to analyze large data sets of spectroscopic and X-ray data. Statistically
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Associate position in a federally-funded laboratory. Applicants must have an MD, PhD, or equivalent. The research will utilize large animal (porcine) models of vascular diseases. No prior experience with
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tailored to model brain activities in health and disease, using Generative AI approaches, processing of structural and functional MRI data, and compiling and organizing large brain imaging repositories