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Designing and implementing data analysis and visualization, and self-service data tools, including data interpretation and training as needed. Essential Function Yes Percentage of Time 10 Job Duty Leading
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learning environments. Demonstrated ability to communicate effectively through oral, written and visual means. Demonstrated ability to utilize computer and video technologies for educational, reporting, and
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public information (e.g., rosters of office hours, class schedules, staff and faculty directories, door cards for faculty and GSI offices). Serves as back-up scheduler for special uses of departmental
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processing, data analysis, and advanced visualization of results GIS qualifications are of major advances Skills in project management Very good pedagogic teaching skills Knowledge in e-learning is beneficial
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. Willingness to work across multiple locations. High school diploma and/or equivalent experience/training. Preferred Qualifications Audio-visual knowledge and experience. Salary & Benefits For information
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Specialist theoretical and practical knowledge of Statistical Model selection, Deep Learning techniques and Medical Image Analysis and visualization. A3 A comprehensive and up-to-date knowledge of the wider
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at oeo.utah.edu For more information: https://www.utah.edu/nondiscrimination/ To inquire about this posting, email: employment@utah.edu or call 801-581-2300. The University is a participating employer with Utah
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for calculating productivity-based compensation, including the analysis of visits, wRVUs, coding, collections, and procedures by provider, specialty, and clinic. This position will also assist with the department’s
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the visualization of information published as linked open data by INE. Tasks to be performed: - Collaborate in the analysis, design and implementation of the architecture of the information system that allows
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data related to climate and energy policies • Provide statistical analysis and coding support for a broad range of Initiative research, primarily in R and Python • Manage and maintain large datasets