Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Stony Brook University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- CNRS
- Delft University of Technology (TU Delft)
- European Space Agency
- Texas A&M University
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- The University of Arizona
- Umeå University
- University of Oxford
- Université Savoie Mont Blanc
- Baylor College of Medicine
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- ERATOSTHENES CENTRE OF EXCELLENCE
- KINGS COLLEGE LONDON
- King's College London
- McGill University
- Nature Careers
- Texas A&M AgriLife
- The University of North Carolina at Chapel Hill
- Télécom Paris
- UNIVERSITY OF SYDNEY
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of California Berkeley
- University of Central Florida
- University of Delaware
- University of Houston Central Campus
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of Oulu
- Université Toulouse III Paul Sabatier
- Virginia Tech
- 25 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may
-
place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
-
National Laboratory (ORNL). The NEEM Group focuses on pushing the limitations of materials, sensors, and experiments through technology development, advanced instrumentation, irradiation experiments, and
-
, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
-
for SDA, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute
-
sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
-
, encryption/decryption and compression; use of microelectronics devices (including COTS); implementation, inference, verification and validation of algorithms** on processing hardware platforms for space
-
novel ideas on searches for dark matter and other physics beyond the Standard Model with quantum sensors, including development of quantum algorithms for atomic clocks and other quantum sensors
-
-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
-
satellite datasets and employ near-real-time server-side algorithms for time-series analysis and the generation of value-added geospatial maps. To enhance the sustainability performance and competitiveness