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, audio, pose, sensor, or behavioral data. Experience developing machine learning models for human behavior analysis. Interest in autism research, developmental science, digital health, or behavioral
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calibrate testing equipment to ensure proper functioning; identify and report abnormalities. Data Acquisition: Perform routine PAP mask fittings and apply electrodes/sensors per published standards. Assist
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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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of naturalistic behavior. The successful candidate will contribute to projects involving participants with implanted intracranial electrodes and wearable non-invasive sensors, with a focus on naturalistic behavior
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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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/sensors per published standards. Assist with "lights out" and "lights on" procedures. Documentation: Record routine observations, sleep stages, and clinical events to facilitate interpretation. Safety