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of Duke University's Masters in Interdisciplinary Data Science (MIDS). If you are passionate about addressing challenging issues in higher education using data science and educational data mining techniques
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clinical environments. If you enjoy working at the intersection of data, technology, and clinical operations—and want to help drive meaningful improvements in care delivery—this role offers the opportunity
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workflows, and potential barriers to adoption using interviews, surveys, observations, and usage data. • Design and develop clear technology adoption materials including job aids, FAQs, how-to guides, and
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System. This position will focus on advanced analytics, data engineering, and performance improvement to enhance clinical operations and patient safety outcomes—particularly within Clinical Labs. Duties
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leads technology integration and migration with other information systems. • Manages client-specific requests to generate customized reports, perform additional verifications and provide added services
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techniques. Perform various Quality Control procedures to maintain compliance with internal and external regulations. Utilize various hospital information systems and software. Perform other related duties
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techniques. Perform various Quality Control procedures to maintain compliance with internal and external regulations. Utilize various hospital information systems and software. Perform other related duties
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_MGORLA [#31868] Position Title: Position Type: Postdoctoral Position Location
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data workflow including data capture, storage, transfer, management, quality, and preparation for analysis (may include data from EDCs, EHR, mobile apps, etc.). Demonstrates and applies open science
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(e.g., Tableau, Power BI). Technical experience with data engineering or SQL. Proven ability to manage complex projects and work collaboratively with clinical and operational stakeholders. Essential