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building sensors, analyzing data, and writing data summaries. The position is 35 hours per week for a three week duration (7/7 – 7/25). Duke University is an Affirmative Action/Equal Opportunity Employer
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Health Access Services This position will be responsible for performing essential tasks required for the creation and revision of Epic scheduling decision trees (algorithms) and for leading other Maestro
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large pickup trucks in remote areas Proficient in R or similar programing language Experience working with in-situ aquatic sensors and/or handheld YSI type systems Google Earth Engine experience, and
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utilization 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
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to emerging biomedical applications, such as wearable devices, implantable medical systems, and intelligent diagnostics is highly desirable. Experience with integrating acoustofluidic systems with sensors
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Preprocessing · Feature Engineering · Algorithm Optimization · Model Validation and Testing · Real-Time Deployment Readiness · Collaborate with Clinical and Epidemiological Teams
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orient the patient to the sleep center. Prepare and calibrate equipment required for testing to determine proper functioning. Perform routine PAP mask fitting. Apply electrodes and sensors according
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electrodes and sensors according to accepted published standards. Assist with following "lights out" procedures to establish and document baseline values (such as body position, oxyhemoglobin saturation
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or labs, following approved scheduling algorithms. Training Assist the Service Access Manager(s) and Team Lead(s) with training new staff during the initial onboarding phase as needed. Provide insight
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scheduling algorithms to promote access. The RCC will build community relationships with Dermatology’s Clinically Integrated Network to provide expedient and reliable access to quality care. The RCC identifies