1,861 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at Duke University in United States
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, Process Owners, Directors (or management) and front-line teams to appropriately use data-driven, scientific, problem-solving methodology to identify the correct design and approach for initiatives
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HIPPA/Medicare documents to the encounter forms. Check-in patient upon arrival in the practice. Identify correct patient information in Maestro Care. Verify patient demographic data. Edit Maestro Care as
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. Obtain and record patient data for medical records noting and informing RN/LPN of information collected. Administer treatment and personal care procedures to patients including, but not limited to, feeding
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opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy
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equipment upkeep Contribute to data analysis and help prepare figures for presentations or publications Participate in lab meetings and collaborate with other lab members Assist key lab safety person with
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to an interdisciplinary research program combining experimental neuroscience, tool development, and data-driven analysis to understand neural circuits across scales in health and disease states. The candidate will design
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information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration
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apparatus for specific laboratory techniques. Perform various Quality Control procedures to maintain compliance with internal and external regulations. Utilize various hospital information systems and
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i n support of the clinicalpharmacist (e.g., patient interviews, medication safety and adherence initiatives, patient follow up calls, collection of clinical data forthe pharmacist). Efficient
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committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex