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, the Ph.D. student will improve ice thickness inversions and future projections for glaciers in the Alps and the Andes by integrating heterogeneous datasets (surface velocities, radar thicknesses, mass
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
aboveground biomass, using multiple sources of remotely sensed data, including very high-resolution imagery, lidar, radar and medium resolution optical data along with ancillary data. This post-doc will
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applications. The Senior RF Engineer will serve as a technical leader within multidisciplinary teams—driving innovation in radar, electronic warfare, and secure communications systems. The role involves
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sensing, physical modelling, and artificial intelligence. You will: design and conduct research using geophysical techniques such as Ground Penetrating Radar (GPR), Electrical Resistivity Tomography
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across scales, cloud-resolving simulations, advanced observations such as radar and satellite measurements, AI, and data science. Applicants should have a Ph.D. degree in atmospheric sciences or
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scientific instrumentation Diagnose and repair equipment such as Doppler radar, lidar, weather stations, cameras, and air-quality instruments Install instrumentation on fixed and mobile platforms and
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, the 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
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Sensors •Microwave/Millimeter-wave and THz Technologies, Antennas and Applications, Electromagnetic Theory and Computational Techniques, IoT Enabling Technologies, Intelligent Sensing and Radar
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Networks conducts research in wireless and optical technologies for communication and sensing, including radar and positioning, with activities ranging from antenna systems and signal processing to
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cold-hardened sensor payloads for drones, for example lidar, radar, thermal cameras, event cameras and inertial sensors - Multi-sensor state estimation and mapping that accounts for degraded sensor data