1,846 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Duke University
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, peers and 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
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assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent information using
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by work area or organization. Able to use fine motor skills. Able to record activities, document interventions. Able to use computer and learn new software programs. Able to navigate the entity
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aids. Provides programs that support staff's ability to learn, adapt and change swiftly as new technology emerges and clinical practice evolves. Performs random proactive quality checks of instrument
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discharge or transfer of patients. Provide breastfeeding education and materials to patients as needed. Assess patient readiness to learn and delivers patient education as appropriate for patient. Participate
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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. Ability to use computer and learn new software programs. Ability to navigate the entity to provide clinical care for patients. Ability to withstand prolonged standing and walking. Ability to remain focused
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for ED procedures. Able to independently seek out resources and work collaboratively. Ability to establish and maintain effective working relationships. Proficient use of a computer and the 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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initiatives, performing scans using research protocols. Demonstrate proficiency in 100+ Complex Cardiac MRI protocols across the health system and teach proper application to technologists, physicians, and