98 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"CSIC" positions at University of Texas at Austin
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and equipment). Maintains backstage door codes for Jessen Auditorium. Event Management and Staffing: Hires, trains, and schedules all student worker event managers. Keeps training and handbook materials
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administrative personnel. RESPONSIBILITIES Manage and Organize Healthcare Data Create and maintain electronic health records (EHRs). Code diagnoses and procedures for billing purposes. Verify the accuracy
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& Analysis: Featurize structural data, manage large datasets, and analyze structural modeling outputs for quality and biological relevance. Maintain rigorous documentation of code, workflows, and benchmarking
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. Contributes to Scientific Communication Develops tables, figures, and code-generated outputs for manuscripts, conference presentations, progress reports, and grant applications. Supports drafting components
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codes, ADA requirements, fire and life safety standards, EHS requirements, and university policies. Operations and Event Support Oversee operational services supporting meetings, conferences, student
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documentation. Implements quality improvement initiatives. Administrative Duties Manages patient records and ensures accurate documentation. Oversees billing and coding processes. Maintains inventory of medical
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. According to Executive Order No. GA-48 of the State of Texas: for all positions that research, work on, or have access to critical infrastructure as defined in Section 117.001(2), Business and Commerce Code
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modern software development practices, including Git, CI/CD pipelines, and Infrastructure as Code. Must currently hold, or be able to obtain within the first six months of employment, a DoD 8140 compliant
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the apprentice level. Computer numerically controlled (CNC) machining experience using Haas machines and controls on at least a 4th axis Mill, and tool room lathe. Must understand G code programming at the Machine
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education and experience may be substituted as appropriate. Preferred Qualifications Prior research experience Coding experience (Python, R, Matlab, e.g.) Statistics training Previous exposure to auditory