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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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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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including, but not limited to, social work, nutrition, palliative care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule
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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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, palliative care and/or survivorship. Follow guidelines and provider template processes by using scheduling algorithms/decision trees to schedule appointments. Apply knowledge of scheduling policies and
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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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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
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ready to schedule, make the appointment and/or coordinate any related tests or labs, following approved scheduling algorithms. Quality and Performance Measures: • Achieve call quality standards job