Sort by
Refine Your Search
-
Country
-
Employer
- National Aeronautics and Space Administration (NASA)
- Delft University of Technology (TU Delft)
- Aalborg University
- Duke University
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Lunds universitet
- McGill University
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- Virginia Tech
- Yale University
- 2 more »
- « less
-
Field
-
. Particular emphasis will be placed on scientific ability within the subject area. The following knowledge areas will form the basis for assessment: Quantitative remote sensing, including optical and radar data
-
include: Biomedical sensing and physiological monitoring Edge intelligence and energy-efficient machine learning hardware Radar and wireless signal processing and communications The successful candidate
-
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
-
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
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months 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
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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