529 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions at Duke University in United States
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, pages and phone messages). Uses technology (e.g., computer skills) to meet job requirements. Maintains productivity standards. Completes clinical competencies consistent with job responsibilities and
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, completion of a structured phlebotomy training course and clinical rotation are recommended. Experience Clinical Technician I Alternatively, an equivalent combination of relevant education and/or experience
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education and training to DUHS affiliated radiology technology programs. Provide orientation to new technologists. Perform other related duties incidental to the work herein Required Qualifications: Education
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Certification in one of the following required: Radiography (R),Radiation Therapy (T), Nuclear Medicine Technology (N), CNMT, ARDMS, or registry eligible for Magne tic Resonance (MR).ARRT or ARMRIT registered in
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. Familiarity with graduate business education and admissions processes is preferred. Comfort with virtual platforms and technology used in admissions and recruitment. Choose Duke. This part-time opportunity
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. For assignment to phlebotomy, completion of a structured phlebotomy training course and clinical rotation are recommended. Experience Clinical Technician I • Alternatively, an equivalent combination of relevant
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physicians, industrial hygienists, and safety engineers, to support safe and effective clinic operations. Participate in continuing education to maintain current knowledge of occupational health and safety
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. Minimum Qualifications Education Bachelors of Science/Bachelor of Arts in Chemical, Physical, Biological, or Clinical Laboratory Science; or Medical Technology. Must meet the CLIA/CAP Education Requirements
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Laboratory Science; or Medical Technology required. Minimum educational or experience requirements may be modified on a case-by-case basis at the discretion of the CLIA (Clinical Laboratory Improvement
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning