1,858 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"UCL" positions at Duke University
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about the effect such charts have on Accounts Receivable work (DNFB). Maintains a consistent plan for follow up and completion on such charts. Facilitates ongoing education of staff in chart documentation
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and non-sterile dressings Required Qualifications at this Level Education Level I -- Graduation from accredited Medical Assistant program strongly preferred. High school or GED graduation required
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department. Plan and provide advanced and/or specialized nursing care for patients guided by DUHS Professional Practice model participate in the clinical ladder program, educational activities, departmental
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comprehensive psychosocial treatment plan utilizing appropriate clinical social work treatments and interventions. • Interventions may include crisis intervention, brief and long-term individual, marital
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records on all requests for service as well as the provision of services. Maintain accurate and timely documentation within program Promote customer satisfaction related to Duke services; notify Supervisor
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practice experience, or acceptable board certification, or completion of an accredited residency program, and demonstrated ability to achieve positive patient outcomes in a similar environment are required 5
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Education. Clinical Ladder Advancement Tuition Assistance Relocation Grant Employee Referral Program Nursing Specialty Certification Bonus Performance Increases Comprehensive Benefits: Medical, Dental, Vision
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technician-training program. or Acceptance into pharmacy school. or High school diploma or equivalent and one year of pharmacy or health care related experience. Experience Minimum of one years related
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systems JOB ELIGIBILITY REQUIREMENTS Work requires completion of a related 1 year technical school program. Work generally requires two years of experience in health care specialties related to the specific
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to an interdisciplinary research program combining experimental neuroscience, tool development, and data-driven analysis to understand neural circuits across scales in health and disease states. The candidate will design