2,162 computer-security-"https:"-"https:"-"https:"-"https:"-"CUBO" positions at Duke University
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-- Graduation from an accredited Medical Assistant program is strongly preferred. High school or GED graduation is required. Level II -- Graduation from a medical assistant program accredited by the Commission
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safety, lockout/tagout, fleet safety, fire extinguishers, hazardous waste, PPE, communication etiquette, filter identification, wiring, and CMMS tools. Six (6) years of HVAC experience or equivalent
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patient identity, and other department and organization-wide functions. Specific job responsibilities are based on the service unit within Health Information Management assigned. Expert computer skills to
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safety training program with 30 days of hire. Level II Completion of patient transport safety training program - Two years experience as a Clinical Tech Assistant I Degrees, Licensure, and/or Certification
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cleaning of vehicles. Responsible for reporting minor and major repair needs to the site-specific Fleet Safety Coordinator, Clinical Team Lead, and/or Program Manager. Responsible for assisting with patient
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proper radiographic exposure techniques in accordance with radiation safety guidelines. Explain x-ray procedures to patients. Position patients for each anatomical view using positioning assistance devices
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treatments to patients. Working knowledge of sanitation, personal hygiene and basic health and safety precautions applicable to work in a hospital. Working knowledge of the organization and physical layout
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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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Duties No outpatient coverage currently. Job Eligibility Requirements Education NP: Graduate of accredited MSN or DNP Nurse Practitioner program for adult care, acute care preferred. RNFA training
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines