1,912 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Duke University
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. What you will need: Education Work requires graduation from an accredited BSN program. Graduation from an accredited Bachelor’s Degree in Nursing (or higher), Associate's Degree in Nursing or Nursing
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incidental 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
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Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral
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and regulations pertaining to occupational safety and hygiene. Ability to coach co-workers. Ability to utilize computer technology to access data, maintain records, generate reports. Creative problem
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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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Qualifications at this Level Education/Training: Work requires a PhD degree in biochemistry, molecular biology, pharmacology or other science related scientific field. Experience: None required above education
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requirements designated by work area or organization. Ability to record activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status. Ability to use the computer
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of advancing medicine and improving clinical care. Minimum Requirements: Work requires graduation from an accredited BSN or Associate’s Degree in Nursing or Nursing Diploma program. All registered nurses
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ELIGIBILITY REQUIREMENTS Graduation from accredited Medical Assistant program accredited by the Commission on Accreditation of Allied Health Education Programs (CAAHEP) or the Accrediting Bureau of Health
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startup package and benefits, potential secondary appointments with other departments, such as Biostatistics & Bioinformatics and Computer Science, and outstanding data and translational opportunities