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networks are typically developed for a specific radar configuration and task, and often generalize poorly to other sensors. At the same time, large scale radar datasets with high quality labels remain scarce
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to develop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
device. The postdoc will: Design, build, calibrate, and maintain wearable multi-wavelength optical sensors, including the optical front end, embedded electronics, and firmware. Develop and validate signal
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environmental problems. Develop geospatial foundation models using large-scale and heterogeneous geospatial data, including satellite imagery, multi-sensor time series, geographic datasets, and global land
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on https://www.heliabiomonitoring.com/publications . The research group integrates laboratory-based and computational approaches for advancing sensor technology and bioengineering. Research is done in close
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& Instrumentation: Assist in assembling, soldering, testing, and debugging low-power embedded hardware and sensor systems. Prototyping & Manufacturing: Print CAD models/components using 3D printers and assist in
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looking for strong candidates to apply for an FPI/FPU predoctoral fellowship and pursue a PhD within an interdisciplinary research project combining: 📡 Planar RF and microwave sensors 🧩 3D-printed
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out research activities in the field of sensors, electronic circuits, and MEMS (MicroElectroMechanical Systems), with particular emphasis on the development of innovative, sustainable, and low-energy
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 1 day ago
sciences, particularly survey methodology and statistics; experience in conducting panel surveys. Experience in handling and analyzing digital behavioral data (social media data or sensor data) is an
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de un sistema integral para la detección temprana, vigilancia y apoyo a la extinción de incendios forestales, integrando información de los servicios de bomberos forestales con sensores IoT desplegados