Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Delft University of Technology (TU Delft)
- South Dakota Mines
- Umeå University
- AALTO UNIVERSITY
- Aalborg University
- CNRS
- European Space Agency
- Inria, the French national research institute for the digital sciences
- Lehigh University
- Leiden University
- Luleå University of Technology
- Nanyang Technological University
- Rochester Institute of Technology
- Technical University of Munich
- Texas A&M University
- Texas A&m Engineering
- University of Lincoln
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Washington
- 13 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
addressing this question by developing advanced algorithms to derive aerosol properties from satellite limb sensors operating in the UV, VIS, and NIR ranges. This work will also involve analyzing aerosol
-
generation of particle detectors combining high precision with high efficiency. In particular, the innermost tracking system—the vertex detector—will rely on advanced silicon sensor technologies to reconstruct
-
, dedicated torque sensors, or other instrumentation installed on the drivetrain. Torsional response can also be calculated if the external torsional forces acting on the powertrain are known, but measurements
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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
-
structures. Integrate and evaluate algorithms on robotic platforms using Robot Operating System (ROS) and sensors such as LiDAR, cameras, and other perception systems. Conduct laboratory and field experiments
-
supporting capabilities such as autonomous tip-and-cue, event-based mission replanning, adaptive multi-sensor tasking and distributed information fusion, 3CS aims to significantly improve the responsiveness
-
profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
-
presentations. The Learning Systems Group at Oak Ridge National Laboratory advances the next generation of artificial intelligence by co-designing algorithms and computing systems to address complex challenges in
-
classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
-
the arc melting, hot rolling, and mechanical testing equipment, including I/O, sensor feedback, and data capture. Connect the PLC layer to the higher-level Python control software through industrial