2,061 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Duke University in United States
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to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence
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. Become a part of a team that values and invests in you. Duke Advanced Practice Highlights: The nation’s first Physician Assistant Program was created at Duke in 1965 and is consistently ranked No. 1 in
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Knowledge of accreditation standards and regulations related to health care Attention to detail and accuracy. Computer literacy Preferred Qualifications Regulatory Knowledge: FACT standards, FDA regulations
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: Analytical and problem-solving skills Strong organizational skills with the ability to multi-task and follow through on outstanding issues Strong computer skills with knowledge of MS Word, MS Excel and e-mail
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. Working knowledge of sanitation, personal hygiene and basic health and safety precautions applicable to work in a hospital. Working knowledge of the organization and physical layout of the hospital. Working
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. Working knowledge of sanitation, personal hygiene and basic health and safety precautions applicable to work in a hospital. Working knowledge of the organization and physical layout of the hospital. Working
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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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health and safety precautions applicable to work in a hospital. Workingknowledge of the organization and physical layout of the hospital. Working knowledge of infection control procedures and safety
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Nurse Aide education program approved by the North Carolina Board of Nursing or successful completion of the NC - approved Nurse Aide I competency test and completion of Level II Nurse Aide education
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) Experimental investigation and computational model simulation of laser-induced bubble dynamics and material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and