637 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Texas at Austin
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operational and executive support to the Office of the Informatics, Chief Medical Information Officer (CMIO) and Chief Data Officer (CDO). This role supports EHR and clinical informatics initiatives while
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. This role involves patient registration, verifying insurance information, collecting payments, scheduling appointments, and providing excellent customer service. The Patient Access Representative supports
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production and R&D software used in data collection, analysis, signal processing, mapping, and navigation for the Advanced Technology Laboratory (ATL) at Applied Research Laboratories. Responsibilities Design
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gathering equipment/supplies and post-field clean-up. Assist in data entry, data management and QA/QC data checks. Enter data into designated databases and data management systems following established
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/scholarship distributions, which include recruitment and continuing fellowships, student travel awards. Manage online scholarship system to provide timely, accurate, and clear data to administrators. Ensure
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& Support Interface with users to provide training in sample preparation, microscope operation, and data collection workflows. Provide ongoing support for the user community. Data Collection, Evaluation
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, science education, computer science education, data science, STEM education, Instructional Design/Learning Sciences, or a related field (or equivalent experience) 5–8 years of experience in STEM programming
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and fragile library and archival material. Create metadata for all digitized materials. Upload digital objects to computer server. Retrieve digital objects from computer server. Attend weekly meetings
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: Cardiovascular and thoracic experience preferred Ability to work efficiently and flexibly in a fast-paced environment with minimal guidance Ability to address individuals and information with a high degree of
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion