2,216 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Duke University
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and communicate pertinent information using computer and/or paper documentation tools. Ability to establish and maintain effective working relationships with patients and hospital staff. Working
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provide manual assistance as required. Obtain and record patient data for medical records noting and informing RN/LPN of information collected. Administer treatment and personal care procedures to patients
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duties incidental to the work described herein. Job Eligibility Requirements Education PA: Graduate of ARC accredited Master's Degree or Doctoral Degree Physician Assistant Program NP
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Performed Prepare patients, equipment and supplies for specific procedures and provide manual assistance as required. Obtain and record patient data for medical records noting and informing RN/LPN
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Position will support the laboratory manager, pathologists, and pathologist assistant. Ordering lab supplies through Dukes procurement system, creating staff schedules, daily communication to staff. Hours
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. Become a part of a team that values and invests in you. Duke Advanced Practice Highlights: The nation’s first Physician Assistant Program was created at Duke in 1965 and is consistently ranked No. 1 in
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. Become a part of a team that values and invests in you. Duke Advanced Practice Highlights: The nation’s first Physician Assistant Program was created at Duke in 1965 and is consistently ranked No. 1 in
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Acute Care Nurse Practitioner program for adult care PA: Graduate of Master’s Degree or Doctoral Degree ARC accredited Physician Assistant program Certification NP: only considering ACNP
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and cast to the upper and lower extremity. Accurately fit all DME products used in the clinic. JOB ELIGIBILITY REQUIREMENTS Graduation from accredited Medical Assistant program accredited by
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, computer science, engineering, applied social science, data science, or related field. 4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning