2,504 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Duke University in United States
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certifications, as well as post master’s certificates and certification alignment programs. Commitment to ongoing learning for APPs through annual CME funding and access to high-quality Duke CME offerings
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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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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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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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for a Lifetime. Duke University Health System is committed to providing robust learning and development from Office of Continuing Education. Career Ladder Advancement Up to $25,000 Nurse Loan Forgiveness
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certifications, as well as post master’s certificates and certification alignment programs. Commitment to ongoing learning for APPs through annual CME funding and access to high-quality Duke CME offerings
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Responsibilities Level 1 Obtain and maintain Epic certification and/or proficiency as defined by management which may include a combination of virtual classroom instruction, self-directed learning, project
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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