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strategic goals at the University of Utah. The successful candidate will be a seasoned professional with a strong background in data analysis, data visualization, and collaborating with decision makers and
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, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. See https://go.unl.edu
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extracting and preparing data for statistical analysis. Additional Information: May assist in data governance, data quality assurance, and data management activities. Strong analytical, problem-solving, and
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collection on academic programs, enrollment, retention, and related metrics; prepares concise statistical reports and visual summaries for leadership. Conducts ad hoc research and data collection
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), such as a two-dimensional map or a three-dimensional model. Situated visualization has been shown to enhance the understanding and analysis of data. Within the context of DTs, interaction with situated
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Information: Job Requirements: Set-up, maintain and operate lab automation systems used to process samples. Operate, calibrate and maintain equipment used in analysis such as spectrophotometers, analyzers
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California State University, San Bernardino | San Bernardino, California | United States | 12 days ago
with team and funding agency to assess data needs and create and support execution of plans to address those needs; Visualize data and results electronically; Maintain internally- and externally-facing
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
Social Data Analytics This course highlights the research in analysis for social data and builds skills to undertake those analysis. It is a lab-intensive course intended to build up data analytic skills
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efficient data retrieval and accessibility. 2.) Data Analysis and Reporting Generate monthly data reports and visualizations to effectively communicate data findings to OCD team. Assist in analyzing career
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. Create new summary variables. Merge, create, and recode variables to prepare data for analyses. Create datasets for analysis by other investigators. Create tables and figures in publication-quality form