Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Nanyang Technological University
- National Aeronautics and Space Administration (NASA)
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Delft University of Technology (TU Delft)
- Oak Ridge National Laboratory
- Singapore University of Technology & Design
- Technical University of Munich
- University of Oslo
- Cornell University
- South Dakota Mines
- Umeå University
- University of Michigan
- Zintellect
- Aalborg University
- CRANFIELD UNIVERSITY
- Center for Devices and Radiological Health (CDRH)
- Durham University
- Florida Atlantic University
- Fraunhofer-Gesellschaft
- Harvard University
- Hong Kong Polytechnic University
- Inria, the French national research institute for the digital sciences
- Institute for bioengineering of Catalonia, IBEC
- Lehigh University
- Leiden University
- Luleå University of Technology
- Monash University
- Nottingham Trent University;
- RMIT University
- Rochester Institute of Technology
- Rutgers University
- TTI
- Texas A&M University
- Texas A&m Engineering
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universidad Carlos III de Madrid
- Universidade de Coimbra
- Universidade do Minho
- University of Birmingham
- University of Dayton
- University of Lincoln
- University of Michigan - Flint
- University of Minnesota
- University of Oxford
- University of Washington
- University of the West of England
- Western Norway University of Applied Sciences
- 38 more »
- « less
-
Field
-
or integrating control algorithms into physical testbeds Knowledge of predictive maintenance methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real
-
data analysis for metal additive manufacturing (AM). This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 21 days ago
, this Postdoctoral Program opportunity invites research focused on advancing imaging spectroscopy retrievals, multi-sensor integration, critical zone biogeochemistry scaling, and geomorphic analysis across tropical
-
) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
-
collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
-
collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
-
metasurfaces using electromagnetic simulation tools (FDTD/FEM) to establish optoelectronic eigenvectors. • Nanofabrication: Fabricate multi-pixel sensor arrays and integrate pre-synthesized chiral 2D HOIP
-
settings. Develop and test algorithms for object detection, tracking, and classification using wireless sensors. Help guide and mentor graduate students and other junior team members working on the project
-
sensor fusion frameworks using cameras, LiDAR, depth sensors, and other sensing technologies. Develop object detection, segmentation, tracking, and pose estimation algorithms. Develop navigation
-
sensors, and other sensing technologies. Develop object detection, segmentation, tracking, and pose estimation algorithms. Develop navigation, localisation, path planning, and collision avoidance algorithms