2,047 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at Duke University in United States
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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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at this Level. Experience No experience required. All CNIs will be enrolled in and must complete the DUHS Nurse Residency Program within 12 months of hire. CNIs are required to meet criteria set forth by the DUHS
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outcomes. Minimum Qualifications Education Work requires graduation from an accredited BSN program or associate’s degree in nursing, or a Nursing Diploma program. All registered nurses without a bachelor’s
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specialized tasks associated with the operation of CT scanners, power injectors, and related equipment in accordance with prescribed radiation safety procedures. Position patients for CT scans using patient
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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 to provide clinical
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control, safety, and infection control procedures to maintain compliance with internal and external regulations. Receive and process specimens as required by respective laboratory area procedures and
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control, safety, and infection control procedures to maintain compliance with internal and external regulations. Receive and process specimens as required by respective laboratory area procedures and
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for those working less A $8,000 relocation budget is available for CRNAs who reside and relocate 50 miles or more to live near the Duke Facility. General Description of the Job Class The DUHS SRNA program is
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and families in accordance with the nursing plan of care Ability to document and communicate pertinent information using computer and/or paper documentation tools Experience: Twelve months
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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