Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Technical University of Munich
- Umeå University
- Linköping University
- National Aeronautics and Space Administration (NASA)
- Rutgers University
- Technical University of Denmark
- Örebro University
- Aarhus University
- Boston University
- Chung-Ang University
- Duke University
- European Space Agency
- Georgetown University
- Ghent University
- Harvard University
- Illinois Institute of Technology
- Texas A&M AgriLife Extension
- The University of Arizona
- University College Cork
- University of California, Merced
- University of Delaware
- University of London
- University of Maryland
- University of Minnesota
- University of Nebraska Medical Center
- University of Oxford
- 19 more »
- « less
-
Field
-
is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
-
conventional, frame-based sensors in comparison to event-based sensors, which are more commonly associated with neuromorphic computing. This work will support mission design decisions regarding the suitability
-
systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
-
-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
-
Republic of Korea | 13 days ago
-generation Intelligent Sensing and Communication) systems can expand coverage with higher network efficiency, lower cost, and lower power consumption compared to the existing technologies. In FR2(mmWave) and
-
and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising
-
different data collection methods and sensors used to gather road condition data, including TPMS (Tire Pressure Monitoring System), high-speed wheel encoders, CAN (Controller Area Network) data
-
of Standards and Technology, The Department of Energy, and the National Aeronautics and Space Administration. Development and application of quantum sensors is an area of research in which maintaining a position
-
About the Role This Postdoctoral Research Associate (PDRA) position is part of an exciting EPSRC-funded programme, "Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and
-
-time data for dynamic urban system modeling. In-depth knowledge of IoT sensor networks for collecting and analyzing urban data (traffic, energy consumption, environment). Strong skills in integrating IoT