2,671 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " positions at Duke University
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Perform a variety of the technical procedures involved in the procurement, processing and evaluation of patient specimens for use in the diagnosis and treatment of disease; teach and perform routine
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others. Ability to teach patients and families in accordance with the nursing plan of care. Ability to use sensory and cognitive functions to process and prioritize information, treatment, and follow-up
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, genetic information, national origin, race, religion, (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke aspires to create a community built on
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conditions), sexual orientation, or military status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of
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computer and learn new software programs Able to provide leadership in clinical area of expertise and in meeting organizational goals Able to navigate the Hospital and DUHS to provide clinical expertise
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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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certificates and certification alignment programs. Commitment to ongoing learning for APPs through annual CME funding and access to high-quality Duke CME offerings including APP Grand Rounds and a professional
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to assist in completing components of care in a timely manner. Participate in own professional development by maintaining required competencies, identifying learning needs and seeking appropriate assistance
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, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration, innovation
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, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status