525 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions at Duke University in United States
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Processing and/or Technology required within 2 years of hire date -CSPDT (CBSPD) or CRCST (HSPA). Employees hired before 2/18/2019 are not required to obtain certification. Duke is an Equal Opportunity
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: Bachelor’s degree in Medical Technology or a related field. Experience: Five years of laboratory experience (including one year at Duke) required to gain specific knowledge of routine and specialized
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Certification Certification in Sterile Processing and/or Technology required within 2 years of hire date -CSPDT (CBSPD) or CRCST (HSPA). Employees hired before 2/18/2019 are not required to obtain certification
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of Science/Bachelor of Arts in Chemical, Physical, Biological, or Clinical Laboratory Science; or Medical Technology required. Minimum educational or experience requirements may be modified on a case-by-case
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belonging. Minimum Qualifications Education Bachelors of Science/Bachelor of Arts in Chemical, Physical, Biological, or Clinical Laboratory Science; or Medical Technology required. Minimum educational
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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 Amendment) director if
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discover how we can advance health together. About Duke Health Technology Solutions Pursue your passion for caring and innovation with Duke Heath Technology Solutions, which is dedicated
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assessments, plan of care, interventions, evaluation and re-evaluation of patient status Ability to use computer and learn new software programs and technology Able to document and communicate pertinent
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office records. • Perform other related duties incidental to the work described herein. Education High School diploma or GED. For assignment to phlebotomy, completion of a structured phlebotomy training
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental