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related duties incidental to the work described herein. Required Qualifications at this Level Education Work requires graduation from an accredited BSN program. Graduation from an accredited Bachelor’s
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Description: Apply Position Description Position Description: The Duke Master of Interdisciplinary Data Science (MIDS) program invites applications for an Adjunct Assistant Professor position with expertise in
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Education/Training: Work requires administrative and organizational skills generally acquired through completion of a bachelor's degree program. Experience: Work requires five years of administrative
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to support interdisciplinary research and engagement at scale—while shaping the Center’s next chapter of growth and excellence. What You’ll Do Program Development & Systems Management (30%) Guide program
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an accredited Bachelor’s Degree in Nursing (or higher) OR Associate's Degree in Nursing OR Nursing Diploma program. ***All registered nurses without a Bachelor’s Degree in Nursing (or higher) will be required
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of patient status Ability 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
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and work collaboratively Level Characteristics N/A Minimum Qualifications Education Level I -- Graduation from accredited Medical Assistant program strongly preferred. High school or GED graduation
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the region, as well as serves as the home forthe Duke Caregiver Support Program. Team members work closely with a patient's physician to provide comprehensive, individualized care in the comfort of their home
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transformer-based models for large-scale biological data. In this role, you will work closely with the Principal Investigator Dr. Wenpin Hou and her research team to develop computational models that analyze
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specialized nursing care for patients in accordance with guidelines established within the Discipline of Nursing Clinical Ladder Program; participate in educational activities departmental committees, research