Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
looking for strong candidates to apply for an FPI/FPU predoctoral fellowship and pursue a PhD within an interdisciplinary research project combining: 📡 Planar RF and microwave sensors 🧩 3D-printed
-
data acquired by mobile road monitoring systems using heterogeneous sensors, such as images, laser profilometers, GPS, and audio data, will integrate machine learning, computer vision, and image analysis
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
-
PhD students trained in several European countries (https://cordis.europa.eu/project/id/101227338 ). You will be appointed for three years, during which time you will study for a fee free PhD. Are you
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 5 days 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
-
, edge sensors, and a low-order wavefront sensor. Keck Observatory remarkably has a similar wavefront control architecture to that proposed for HWO, and unlike high-contrast imaging testbeds, has realistic
-
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Associate to contribute to cutting-edge research in embodied AI and
-
conduct research on: Repurposing end-of-first-life electric bus and IMC batteries as second-life stationary and mobile energy storage systems with focus on battery degradation and cell-to-cell variations
-
Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
-
to advance a novel compact gas pressure sensor based on a chip-scale mechanical oscillator with ultra-low intrinsic loss. Building on a successfully demonstrated portable prototype and identified application