1,901 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"SUNY" positions at Duke University
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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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allows you to grow and strengthen your skills, build confidence, and learn about many different disease processes. Flexible scheduling Extraordinary unit culture that embraces each team member – a sense of
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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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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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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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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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computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database administration. OR equivalent combination of relevant education and experience. Preferred
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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