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include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and communications The successful candidate
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for general image classification tasks. We are particularly interested in applications involving weather radar imagery and medical imaging. Mandatory requirements: Ph.D. in Computer Science, Mathematics
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communications, orthogonal time frequency space modulation, radar/sonar signal processing, and machine and deep learning. WORK PERFORMING: Individual will perform research generally in the area of statistical
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, including canopy height, tree crown size, leaf area index and aboveground biomass, using multiple sources of remotely sensed data, including very high-resolution imagery, lidar, radar and medium resolution
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: Quantitative remote sensing, including optical and radar data. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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forest biomass to assess terrestrial carbon stocks and fluxes to support understanding of the Earth’s carbon cycle. The Biomass mission is imaging the Earth’s surface with a synthetic aperture radar (SAR
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and radar sensing convergence” (DisCouRSe). Who we are looking for The following requirements are mandatory: A doctoral degree in Electrical Engineering, Engineering Physics, Applied Mathematics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
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 work closely with the other post-doc