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, thereby enabling the project's results to be implemented as widely as possible.. 2. Content-enriched digital archival representation. The data extracted from the content analysis will be used to enrich
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Location Lexington, KY Grade Level 11 Salary Range $54,080-95,056/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https
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progress. Data Analysis, Visualization & Storytelling High proficiency in Advanced Excel (e.g. Pivot Tables, VLOOK UP) for financial modeling, revenue projections and cost-savings analysis coupled with
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analysis Good Excel skills Excellent written, verbal, and visual communication skills, with the ability to engage a wide range of audiences Ability to work independently while thriving in a collaborative
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engage in data-driven, computational, and/or pluridisciplinary approaches to cultural, literary, or visual analysis. Other research areas of interest include cultural analytics, artificial intelligence
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analysis, quality assurance activities, and data visualization. Will support these data activities for manuscripts, grant submissions, and programmatic needs. Ability to work independently, problem-solve
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Posting Details Position Information Position Title Architectural Structures/ Architectural Engineer – Adjunct Faculty Position Position Summary The College of Architecture, Visual Art, and Design
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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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disabilities portfolio. Responsibilities include designing and implementing complex analytic workflows, developing innovative data visualizations to support research and policy translation, contributing to peer
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Minnesota State Colleges and Universities, System Office | Saint Paul, Minnesota | United States | 22 days ago
management, and communications for data literacy and enablement utilizing data visualization tools (e.g., Power BI, Excel, Tableau). Experience with data warehousing and database concepts, data governance