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diverse publics. The position will also assist in the collection and analysis of data related to ICA’s in-person and virtual audiences. Together, these efforts expand ICA’s role as a civic resource, amplify
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. Qualifications: Master's degree required, PhD preferred. 5-7 years of experience working with data and data analysis tools. Proficiency in SQL, Python, R, and Data Visualization.• Familiarity with cloud computing
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and 5+ years of experience in research and policy analysis including familiarity with interpreting and visualizing data, OR Masters’ degree in relevant field and 2+ years of experience in research and
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practice for UT Health RGV. Visually view, evaluate, and interpret medical records, physical exams, and other relevant data of patients; to include competency in taking history and examining patients
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Science General Linear Models Deep Learning & AI Capstone in Applied Data Science I Summer semester: (beginning of May through mid-Aug) Data Visualization & Storytelling Multivariate Statistical Analysis
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will assist the research scientist on experimental work focused on gathering large-scale neural imaging datasets. He/ she will run a data analysis pipeline established in the group to retrieve activities
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. The course introduces students to basic coding, visualization, and data processing and analysis through the use of Python and Jupyter. Students will learn to use these notebooks experimenting with coding and
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relation to human exposure You will work in an international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and
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across campus in the areas of data visualization and analysis, GIS / geospatial data, digital scholarship, research data management and citation management. Along with these two units, Koerner Library
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projects and collaborate on all aspects of the evaluation process, including the evaluation design, workplan, methodology and instrument development, data collection procedures, analysis, and reporting