2,371 engineering-computation-"https:" "https:" "https:" "https:" "https:" "University of Minho" positions at Duke University
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Comfort using computer systems, membership software, and mobile applications (Fusion experience preferred) Professionalism, reliability, and discretion when handling member information Ability to work
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with the public Understand and follow oral and written instructions Accept responsibility for accuracy and responsiveness Work under pressure Perform ECG and ECG related studies Basic computer skills
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experience with switchboard operations and multi-line phone systems. • Proficiency in word processing and computer usage on current Windows versions. • Excellent communication skills including good
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employees. Perform other related duties incidental to the work described herein. Required Qualifications at this Level Education Work requires graduation from an approved or accredited Practical Nurse program
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certification as approved by Clinical Labs leadership. Knowledge, Skills, and Abilities Basic phlebotomy and specimen processing techniques. Knowledge of medical terms preferred. Basic computer skills. Effective
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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, educational activities
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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