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distributed network of radiation detection sensors. The Senior Data Manager supports the Facility and Systems Security (FSS) Group; works closely with the ORNL Radiation Inspection Systems Team (RIST
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control hardware. Collaborate with cross-functional teams including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols
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sensors and DAS, acquired at sampling rates ranging from 1,000 to 200,000 samples per second, is capable of observing magnitude negative five induced earthquakes at distances from meters to 100’s of meters
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advanced actuators, smart materials, sensor systems, and new adaptive control methods to manage the open-ended degrees of freedom of morphing systems. Methods will span both active smart-material based
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-based prediction. This includes instrumenting a high-power APS torch with video and acoustic sensors, developing machine learning algorithms for feature extraction, and building predictive models
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 13 hours ago
including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols. • Develop custom control and data processing software in
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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teams. Identify, research, and develop algorithms to exploit information in various sensor systems Analyze and develop models of signal processing outputs to support system understanding Present results
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software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities
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are searching for motivated and talented Signal Processing Research and Development Engineers to join our Sensor Analysis and Data Modeling (SADM) Department at the Applied Research Laboratory (ARL) at Penn State