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community partners. This includes multiple academic institutions, a practice based research network (PBRN) including about 90 sites, along with other large national research networks. We foster strong
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by multiple orders-of-magnitude. This is an exciting opportunity to be at the forefront of using advanced computational methods and systems, including machine learning, to develop data and computing
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Expertise and hands-on experience using LLMs, Machine Learning, Deep Learning frameworks, Natural Language Processing, etc. Proficient programming skills in Python and R and working knowledge in SQL Strong
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: Employing satellite observation and machine leaning to improve model representation of ice sheet surface melt”. The candidate will work under the direction of Prof Nowicki and in collaboration with multiple
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candidate will work under the direction of Prof Nowicki (UB) and Prof Kopp (Rutgers) and in collaboration with multiple UB faculty and students as well as our external collaborators located at NASA Goddard
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of neurodegeneration? The Cruchaga Lab at Washington University School of Medicine is on the lookout for multiple Postdoctoral Research Scientists to join their dynamic team. About the Cruchaga Lab and NGI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
models such as C-TOOLS, INMAP, etc. to develop high resolution estimates of air pollution exposures at census tract scales or finer over multiple domains, and b) develop quantitative estimates for air
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data, and implementing the data management plan of multiple research grants Assist the PI’s research team in procuring and utilizing cutting-edge research equipment. Participate in college and school
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
processes from multiple emissions sources as represented in current models, and quantitative analysis of models and observational data using Python, Matlab, R, etc. Expertise required in developing new models