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) in computer science, electrical engineering, biomedical engineering, statistics, or a related field. Experience includes (1) expertise and experience in machine learning, (2) proficiency in computer
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initiatives. Collaborate with patients, families, and interdisciplinary teams while educating and advocating for patient needs. Graduate of an accredited BSN, ADN, or diploma nursing program. All RNs without a
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affiliated radiology technology programs. Provide orientation to new technologists. Perform other related duties incidental to the work herein **DRAH offers career growth and enrichment within imaging services
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candidates will work with Prof. Ying Wu. This position will work on the accelerator and light source development program at the High Intensity Gamma-Ray Source (HIGS). The Associate will participate in
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guided by DUHS Professional Practice model participate in the clinical ladder program, educational activities, departmental committees, research projects or other health related projects as assigned
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advanced and/or specialized nursing care for patients in guided by DUHS Professional Practice model participate in the clinical ladder program, educational activities, departmental committees, research
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for promotion to CN II by meeting criteria set forth by the DUHS Vizient Nurse Residency Program within 12 months of hire. Promotions can occur at 12 months of hire, but no later than 18 months of hire. Education
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activities, document assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs Able to document and communicate pertinent
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related duties as needed. What you will need: Education Work requires graduation from an approved or accredited Practical Nurse program. Experience Degrees, Licensure, and/or Certification A current North
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to work independently in a self-directed role. Strong problem-solving skills and ability to manage complex situations. Excellent written and verbal communication skills. Basic computer proficiency. Minimum