1,744 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEC" positions at Duke University
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to appropriate media and coordinate delivery with HIM department Maintain equipment databases, calibrate machines as needed, notify manager of any clinical engineering needs JOB ELIGIBILITY REQUIREMENTS Work
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observation of the patient virtually using approved telehealth technology. · Virtually monitoring changes in the patient's physical, emotional, and mental condition. · Communicate the status of the patient
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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, departmental
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students from across Duke’s schools of medicine, nursing, law, public policy, business, and engineering, and fosters extensive relationships with stakeholders both internal and external. These relationships
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to the work described herein. Required Qualifications at this Level Education Work requires graduation from an accredited BSN program. Exception: Registered nurses hired between July 1, 2014 and April 11, 2021
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offers career advancement through a clinical ladder program. Duties and Responsibilities of this Level Level I Duties and responsibilities may include providing nutrition services and medical nutrition
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the computer terminal Perform needed tests and adds the proper quantity of chemicals to the various system -Maintain inventory of compressed gas cylinders and Liquid Oxygen -Install tanks as needed in
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related duties incidental to the work described herein. Required Qualifications at this Level Education Work requires graduation from an accredited Associate's Degree in Nursing or Nursing Diploma program
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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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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D