Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- University of Luxembourg
- Aalborg University
- Chalmers University of Technology
- CNRS
- Cornell University
- Delft University of Technology (TU Delft)
- Duke University
- FAPESP - São Paulo Research Foundation
- Istituto Italiano di Tecnologia
- Nature Careers
- Norwegian Meteorological Institute
- The University of Arizona
- Universidade Estadual Paulista (UNESP)
- University of Liverpool
- University of Minnesota
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- Université Savoie Mont Blanc
- Örebro University
- 11 more »
- « less
-
Field
-
processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
-
analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and monitoring severe weather events. Radar images, especially those of the PPI (Plan
-
modulation, radar/sonar signal processing, and machine and deep learning. WORK PERFORMING: Individual will perform research generally in the area of statistical signal and array processing. Topics of specific
-
to staff position within a Research Infrastructure? No Offer Description Accurate analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and
-
characterization, Radar sensing, Quantum sensing. For a Research Assistant: You will develop technical solutions aligned with the consortium's objectives and contribute to related research areas under supervision
-
of RF communicating electronic systems to a multitude of waveforms, within the framework of the optimization of a non-linear radar. The candidate for this position will be responsible for : - Setting up
-
in RF systems, radar, and space-related research. You will play a key role in the design, development, and validation of an L-band phased-array breadboard system for detecting plasma disturbances
-
Aperture Radar (SAR) imagery and AI methods to detect and monitor slow gravitational movements of seismic origin or linked to changes in the cryosphere in the Alps. The proposed approach is based
-
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
-
for space and hypersonic applications, integrating heterogeneous sensor data (EO, radar, IMU, LiDAR) into robust orbit determination and relative navigation pipelines. The position spans theoretical algorithm