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multiple affiliations. Job Title: BIOINFORMATICIAN I/Evaluation Lead (CTSI) Occupational Summary The Duke Health AI Evaluation and Governance (E&G) program focuses on ensuring the safe, effective, and
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Charge Capture Coordinator - Clinical Rev Integrity - Full Time 8 Hour Days (Non-Exempt) (Non-Union)
entry errors for clinical department process improvement. Essential Duties: Review department clinical documentation from multiple sources and enter hospital charges accurately, timely and in accordance
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Summary
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real-time AI algorithms, data infrastructure management, surgical robotics, and human factors. Work collaboratively with clinical teams at multiple institutions to demonstrate the operation and
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will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications. Job
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. This involves multiple moderately complex steps. The first is to create GALEX MIS and AIS maps, removing all point sources and smoothing to reduce artifacts. After completion of the all sky map, you will use
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, employing state-of-the-art statistical techniques, managing and analyzing large datasets, and applying machine learning algorithms and large language models to derive meaningful insights. Interactions with
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the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world
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systems from QC attacks, and accelerate the adoption of quantum-enhanced cybersecurity, AI, optimisation and simulation algorithms across Australian industries – aligning with the Digital Economy 2030