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of resources to optimize care. Participates in developing guidelines, algorithms, and care pathways to improve the care and safety of patients. Participates in efforts to maintain TJC accreditation standards
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oncology patients will see multiple providers on their first visit, need diagnostics and additional visits such as genetics. This is identified prior to the patient coming for the first time. Thiswork must
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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on their first visit, need diagnostics and additional visits such as genetics. This is identified prior to the patient coming for the first time. Thiswork must occur in a stepwise fashion to ensure smooth
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applying new AI algorithms and models, motivated by biological research in biochemistry, drug design, immunobiology, neuroscience, and cancer biology. Example application areas include generative models
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or labs, following approved scheduling algorithms. Quality and Performance Measures: --Achieve call quality standards job results, recognizing calls are recorded and scored. --Meet quality and performance
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simulations and data analysis. This includes data analysis using Python-based algorithms. Experience with EELS is preferred. Skills This See Experience
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experience in simulating/implementing quantum algorithms for field theories on quantum hardware. Appointment Detail: This post‑doctoral position is a full‑time, 12‑month appointment with annual renewal
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Developing custom data models and algorithms for applied research Assisting with database design, development, and testing Supporting the setup and maintenance of data handling systems Ensuring data security