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Field
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of the project to integrate the sensor with the microfluidic sample delivery system and apply the surface chemistry for the overall system integration. In particular, the postdoctoral associate is
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techniques, map matching and magnetic navigation solutions. This project aims to investigate the advantages of multi-sensor fusion (inertial, acoustic, visual, and magnetic) for underwater sensing and
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of the project to integrate the sensor with the microfluidic sample delivery system and apply the surface chemistry for the overall system integration. In particular, the postdoctoral associate is
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analysis. Experience with field and laboratory instrumentation (e.g., soil moisture sensors, data loggers, sensor networks, automated data acquisition systems). Demonstrated ability to publish in peer
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. The candidate will need to master sensor technologies, embedded systems, and communication protocols, while integrating real-time data into cloud platforms to develop reliable, secure, and scalable
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
with clinicians, engineers, researchers, and industry partners to transform multimodal health data—including wearable and sensor data, medical images and video, speech, human movement, physiological
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. Demonstrated expertise in one of the three research areas described above. · For the in-situ monitoring position: Proficiency with sensor integration, data acquisition systems (e.g., LabVIEW), and data
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predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate
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computing and inter-satellite communications. By supporting capabilities such as autonomous tip-and-cue, event-based mission replanning, adaptive multi-sensor tasking and distributed information fusion, 3CS
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
wearable sensors). Proficiency in physiological or sensor signal processing and statistical or machine-learning modeling in Python or MATLAB . A record of first-author, peer-reviewed publications in a