493 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of California, Los Angeles
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washing, shampoo machines and floor machine. Sweep, strip and wax floors. Perform isolation room cleaning. Perform high and low dusting. Clean vertical and horizontal surfaces using the approved cleaning
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policies and procedures as well as a thorough understanding of the University system and it services and programs. Knowledge of hospital computer system, and personal computer systems and the various
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operating vacuum cleaners, buffers, wall washing machines, shampoo machines and floor machines. You will also perform other duties as assigned by the supervisor. Salary range: $21.05 – $27.21 Hourly Effective
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Strong ability to build rapport with patients and families Demonstrated ability to complete documentation in a timely and accurate manner Strong computer proficiency and ability to learn and use UCLA
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delays. • Triage all lab samples and requests after verification of appropriate information. • Enter and verify patient and test info into computer. • Generate computer labels for specimens and deliver
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JOB DUTIES Description Responsible for functions of the PES Administrative Assistant including online computer document processing, scanning/faxing multiple documents to upload to the Care Connect
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. · Demonstrate proficiency in computer skills, Windows computer function, computer navigation, and ability to use computerized patient care systems. · Knowledge of all safety requirements when handling
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functions. Ability to use photocopy machine and fax machine as needed. Knowledge of University policies and procedures on travel Knowledge of University policies and procedures regarding procurement
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skills Ability to read/interpret correspondence, charged documents, EOBs and all insurance forms Knowledge of online registration procedures, including payor data and financial classes Computer proficiency
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
-8,000 keystrokes or type 40-50 WPM Computer proficiency with Microsoft Office and data visualization tools Knowledge of claims adjudication systems (e.g., EPIC-Tapestry, EZ Cap, QNXT, IDX) Willingness