1,551 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at Duke University in United States
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achieving the goals of the nursing department. Plan and provide advanced and/or specialized nursing care for patients in guided by DUHS Professional Practice model participate in the clinical ladder program
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, an endo-surgery center, and more. Plan and provide advanced and/or specialized nursing care for patients in accordance with guidelines established within the Discipline of Nursing Clinical Ladder Program
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an accredited Bachelor’s Degree in Nursing (or higher), Associate's Degree in Nursing or Nursing Diploma program is required. All registered nurses without a Bachelor's degree in Nursing (or higher) will be
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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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strategy by improving access to subspecialty care, strengthening program quality, and extending provider services across strategically aligned, like-minded partner organizations through both in-person and
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and role model to other staff Participate in departmental committees, professional development, the Clinical Ladder Program, research initiatives, and quality improvement activities Promote and maintain
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Description: Apply Position Description Teaching Legal Writing Opportunity – Part-time Adjunct Position Duke Law School seeks candidates for a part-time position teaching legal writing in the LLM program for
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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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achieving the goals of the nursing department. Plan and provide advanced and/or specialized nursing care for patients in guided by DUHS Professional Practice model participate in the clinical ladder program
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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