1,840 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"FEUP" positions at Duke University
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phlebotomy and specimen processing techniques. Knowledge of medical terms preferred. Basic computer skills. Effective communication skills. Effective professional communication skills to interact with patients
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Abilities Basic phlebotomy and specimen processing techniques. Knowledge of medical terms preferred. Basic computer skills. Effective communication skills. Effective professional communication skills
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of medical terms preferred - Basic computer skills. - Effective communication skills. - Effective professional communication skills to interact with patients/ customers. Distinguishing Characteristics
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processing techniques. Knowledge of medical terms preferred. Basic computer skills. Effective communication skills. Effective professional communication skills to interact with patients/ customers. Duke is an
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computer skills are required to complete basic to intermediate tasks within Maestro Care, Solarity, Hyland OnBase and other related applications. Work Performed Document Management Functions: Maintains
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• Basic phlebotomy and specimen processing techniques. • Knowledge of medical terms preferred. • Basic computer skills. • Effective communication skills. • Effective professional communication
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to learn new skills (ie. computer) *Ability to review recipes and instructions for possible errors relating to specified quantities, ingredients, proportions or mixtures. *Ability to troubleshoot equipment
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ambulance and medical support systems, and assist with operations of associated satellite base and ongoing continuing education outreach program. Responsible for minor repairs to the unit to include: changing
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understanding of genomics data processing and a strong interest in computational data science. Throughout the internship, the candidate will gain hands-on experience with industry-standard tools and programming
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) Experimental investigation and computational model simulation of laser-induced bubble dynamics and material damage assessment 3) Developing AI and machine learning models for robot-assisted laser surgery and