2,317 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" positions at Duke University
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a high school education and completion of a medical assistant program. Working knowledge of sterile techniques, infection control procedures, and safety precautions applicable to a clinical setting
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liaison with other programs, offices and departmentsat Duke to coordinate program business and to accomplish program objectives. Interface with external organizations as appropriate to ensure cooperative
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in daily duties. Ability to lift over 50 pounds preferred. Computer and Excel skills preferred Strongly prefer experience in a fast- paced, customer service environment. Ability to strive to improve
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advanced and/or specialized nursing care for patients in guided by DUHS Professional Practice model participate in the clinical ladder program, educational activities, departmental committees, research
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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 degree in nursing ( or higher) will be required
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Ophthalmic Technician program. Work requires certification as a certified Ophthalmic Assistant by the Joint Commission on Allied Health Personnel in Ophthalmology (JCAHPO) Must have BLS Certification Duke is
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the DUHS Professional Practice Model Serve as a resource and role model to other staff Participate in departmental committees, professional development, the Clinical Ladder Program, research initiatives, and
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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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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