Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Stony Brook University
- University of Texas at Austin
- University of Dayton
- NIST
- Oak Ridge National Laboratory
- Harvard University
- Pennsylvania State University
- Zintellect
- University of Houston Central Campus
- University of North Carolina Wilmington
- Florida Atlantic University
- Princeton University
- Texas A&M University
- Carnegie Mellon University
- Colorado State University
- Drexel University
- Michigan State University
- Nature Careers
- Northeastern University
- Texas A&M AgriLife
- Texas A&M University System
- Texas A&m Engineering
- The University of Arizona
- University of California, Los Angeles
- University of North Carolina at Chapel Hill
- Columbia University
- Purdue University
- Rice University
- The Chinese University of Hong Kong
- The Ohio State University
- The University of North Carolina at Chapel Hill
- University of California
- University of California Berkeley
- University of California, Berkeley
- University of Central Florida
- University of Cincinnati
- University of Delaware
- University of Houston
- University of Michigan
- University of Michigan - Flint
- University of Minnesota
- University of Nevada, Reno
- University of Virginia
- Virginia Tech
- Washington State University
- 35 more »
- « less
-
Field
-
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
-
troubleshooting to ensure real-world readiness. Develop and implement algorithms for autonomous control, SLAM and navigation. Ensure reliable communication between hardware components and the robotic system
-
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
-
the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
-
locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
-
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
-
on creating accurate digital twins, improving anomaly detection models, and integrating visual data with spatial sensors like RGBD and LiDAR. This Research Engineer (Researcher 2) role offers the opportunity
-
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