Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Pennsylvania State University
- Oak Ridge National Laboratory
- Carnegie Mellon University
- NIST
- Zintellect
- Michigan Technological University
- University of Dayton
- National Aeronautics and Space Administration (NASA)
- Texas A&M University System
- University of Texas at Austin
- University of Washington
- Cornell University
- North Carolina State University
- South Dakota Mines
- University of Michigan
- Boise State University
- California Institute of Technology
- Center for Devices and Radiological Health (CDRH)
- Florida Atlantic University
- Harvard University
- Lehigh University
- New York University
- Princeton University
- Rochester Institute of Technology
- Rutgers University
- TTI
- Texas A&M University
- Texas A&m Engineering
- University of California Davis
- University of Delaware
- University of Florida
- University of Michigan - Flint
- University of Minnesota
- Washington State University
- 24 more »
- « less
-
Field
-
Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals
-
) 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
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 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
-
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
-
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
-
existing imaging and sensing systems Develop new sensing techniques and technologies Calibrate sensors and ensure data integrity for use in machine learning algorithms Support R&D projects for the MSA Group
-
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
-
of piezoelectric and Weigh-In-Motion (WIM) sensors Electrical engineering and electronics knowledge Program coding and software development skills including Machine Learning and AI algorithms Knowledge, Skills, and
-
other government agencies (OGAs). As part of your routine tasks, you may be required to: Assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar