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materials, while having the opportunity to shape a new research capability with broad impact across quantum networking, communications, and computing. Research Focus Design and fabricate superconducting
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, sensors, and computing devices). The ability to communicate effectively with research participants, clinicians, and team members is essential. Education/Training EXPERIENCE: Demonstrated track record
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, to understand how brain networks and symptoms evolve within individuals over time. These studies combine high-frequency neuroimaging, behavioral assessment, wearable data, and digital phenotyping to characterize
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include, but are not limited to: Responsibilities Design, build, and integrate robotic and automated systems, including end-effectors, manipulators, and sensor-actuator networks. Lead mechanical, electrical
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 months ago
and analyze data from our INSTEP network in conjunction with others. Sensor data fusion along with remote sensing instruments (Pandora, AERONET) and satellites (TROPOMI, TEMPO) will serve to validate
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are looking for a: Reference Number 11115 The PostDoc position is one of three in a cluster hire. It is embedded in the Helmholtz long-term environmental observatory network TERENO and the EU-funded regional
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Florida International University is a Top 50, preeminent public research university with 55,000 students from all 50 states and more than 140 countries, as well as an alumni network of more than
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proposal development and preparation of high-quality publications in top computer security, privacy, embedded systems, sensing, and networking venues. ● Pursue research topics such as protecting
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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Experience Appropriate PhD in a related field. Preferred Qualifications Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment