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
- UNIVERSITE DE BOURGOGNE (University of Burgundy)
- University of Lincoln
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Washington
- 14 more »
- « less
-
Field
-
to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
-
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
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month 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
-
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
-
) 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
-
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
-
develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has
-
. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
-
of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems