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experience in designing and implementing interactive data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R
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consultant and partner to UTA students, faculty, and staff regarding data analysis and visualization. This librarian will be responsible for providing public-facing services focused on data visualization via
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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or lead mixed-methods analysis combining survey data with qualitative findings where applicable. Reporting & Dissemination Develop data visualizations, technical reports, donor updates, and academic
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sources to populate SHADAC’s online data visualization tool: State Health Compare Conduct analysis using the National Health Interview Survey (NHIS) to examine differences in access to care and utilization
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and qualitative data. Develop visualizations (e.g., tables, dashboards), interpret research findings, and write analytical summaries. Develop, review, and administer online surveys using Qualtrics
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evidence of specialized training, education or publication in the area the candidate will teach, which may include the following relevant areas: PowerBI, data mining and analysis; interface design; visual
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Create databases and reports, develop algorithms and