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that data integrity needs are met in a timely and accurate manner. Responsibilities: Data Integrity (Library Services Platform): Manages discrete large-scale metadata, maintenance, and enhancement projects
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in Analytical Chemistry is available to work on mass spectrometry research led by Prof. Boone Prentice (https://prentice.chem.ufl.edu/ ) in the Department of Chemistry. We have a position available in
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related discipline. The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine
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integration. • Experience developing dashboards, automated reporting, or large-scale administrative data integration. Preferred Qualifications • Master’s degree in in computer science, information systems, data
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intensive care units. The Research Assistant oversees data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in support of a PI or a research team
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of interest include, but are not limited to, stochastic, discrete, large-scale, and data-driven optimization, machine learning methods for sequential decision making, or stochastic modeling and prescriptive
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on generative approaches to extract information from large and complex astronomical datasets and simulations in order to tackle pressing problems in cosmology, exoplanet science, high energy astrophysics, and
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https://www.uttyler.edu/about/. Additional Information The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at
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, the Iowa City community offers outstanding schools, quality entertainment, literary, musical and cultural opportunities, outdoor recreation and Big Ten sporting events. Learn more about Iowa City and the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
traditional predictive attempts and limits the availability of training data for high-resolution atmospheric and hydrological models. This limitation is compounded by the fact that many atmospheric reanalysis