2,087 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Duke University in United States
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-- Phlebotomy Technician Examination [PBT(ASCP)], International Academy of Phlebotomy Sciences (IAPS), National Phlebotomy Association (NPA), American Society of Phlebotomy Technicians (ASPT), National Phlebotomy
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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 without a Bachelor's degree in Nursing
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model participate in the clinical ladder program, educational activities, departmental committees, research projects, or other health-related projects as assigned. Provide nursing services to patients and
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and leaders to develop effective strategies for leveraging talent, drive culture strategies that match business priorities, create retention strategies, and aid with succession planning and internal
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research. (new text) The Rhodes Information Initiative is a driver of exciting data science, computing, and AI initiatives at Duke. Access to unprecedented amounts of information, computing power, and AI
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research. The Rhodes Information Initiative is a driver of exciting data science, computing, and AI initiatives at Duke. Access to unprecedented amounts of information, computing power, and AI algorithms
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achieving the goals of the nursing department. Plan and provide advanced and/or specialized nursing care for patients guided by the DUHS Professional Practice model, participate in the clinical ladder program
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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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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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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