1,861 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Duke University in United States
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designated by work area Ability to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs
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the procurement, processing, and evaluation of patient specimens for use in the diagnosis and treatment of disease; teach and perform routine clerical and technical procedures including specimen collection, and
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-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools Ability to navigate
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organization Ability to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Ability
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of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using computer and/or paper documentation tools Ability to navigate the entity
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for Duke Health. PRMO Learning Center Departmental Job Description Revenue Cycle Epic Training Specialist [Cadence / Prelude] Job Code: 5558; Job Level: F3 A little about us: The Mission of the PRMO is
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other departments. Assume responsibility for upholding the policies and procedures of the department and organization. Demonstrates eagerness to learn, takes direction, adapts to changes within unit
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of the department and organization. Demonstrates eagerness to learn, takes direction, adapts to changes within unit, demonstrates consistent progress toward Level II. Establishes and maintains sterile field and
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trachea as required. Determine, set up and prepare necessary drugs, supplies and equipment for the administration of anesthetics; assemble gas machine and test to insure proper functioning; ensure
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resolution. Our methods include genomics (e.g., spatial transcriptomics, single-cell transcriptomics, metagenomics), bioinformatics (including machine learning and artificial intelligence), synthetic biology