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Field
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engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early
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operation. Develop modular architectures for multi-agent coordination, sensing, and communication. Integrate sensor suites, flight controllers, and swarm coordination algorithms into UAV platforms. Conduct
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international research groups, and with national and regional industry partners. The research programme includes the research themes of software engineering, engineering computing, sensor networks and measurement
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The Schaeffler SHARE program comprises a global research network with leading universities globally. The on-campus concept provides a structured approach focused on applied research in strategically
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3D integration and flexible electronics. These nano and microtechnologies form the foundation of our diverse fields of expertise, which include sensor technology, circuit design, system solutions with
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eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection
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in Engineering. - Extensive experience in Aviation, Sensor & Network Integration. Other Requirements: This is a security-sensitive position and is restricted to U.S. citizens only. Only complete
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archiving of environmental data collected at a meso-network of biometeorological field sites across California for the Oikawa Laboratory at the Cal State East Bay campus. This role is responsible for the day
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quantum networks and quantum sensors. Point defects in wide-bandgap solids are an example, where the deterministic interaction between emitted photons and electronic and nuclear spins enables photon
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient