Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Oak Ridge National Laboratory
- Pennsylvania State University
- NIST
- University of Dayton
- California Institute of Technology
- Harvard University
- Lawrence Berkeley National Laboratory
- National Aeronautics and Space Administration (NASA)
- Saint Louis University
- Texas A&M University System
- The Ohio State University
- The University of Arizona
- University of California, Santa Cruz
- Zintellect
- Boston University
- Carnegie Mellon University
- Florida Atlantic University
- Iowa State University
- Johns Hopkins University
- Northeastern University
- Princeton University
- Texas A&M AgriLife Extension
- Texas A&M University
- The Chinese University of Hong Kong
- The University of Alabama
- University of California
- University of Central Florida
- University of Cincinnati
- University of Delaware
- University of Florida
- University of Illinois at Urbana Champaign
- University of Maryland
- University of Miami
- University of Nebraska–Lincoln
- University of Oregon
- University of San Francisco
- University of Texas at Arlington
- University of Texas at Austin
- University of Texas at Tyler
- University of Virginia
- Washington State University
- 31 more »
- « less
-
Field
-
to support data sharing across multiple agricultural sites using networked edge devices. Develop AI algorithms for distributed deep learning that optimize training time and ensure data privacy when processing
-
wide range of applied research and development projects involving sensors, lasers, and electro-optical technology. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military
-
focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data management solutions. This position will perform research designed
-
Analysis and apply today! This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data
-
at intersections through real-time detection, classification, and tracking of vulnerable road users (VRUs) using advanced sensing technologies and artificial intelligence algorithms. The appointment is tentatively
-
skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
-
water sensor at the molecular level. Our measurement techniques and numerical models based on constrained regularization algorithms allow us to link these measurements with other techniques including
-
Sonmez Turan meltem.turan@nist.gov 301.975.4391 Description NIST standardized cryptographic algorithms are intended to be "bulletproof". That is, the computational complexity needed to break them is
-
and signal-acquisition circuitry, and signal-processing/pattern-recognition algorithms. The sensors must be tailored for the particular nature of a given chemical or biochemical measurement problem by
-
smart electrical grid that increasingly relies on the use of intermittent renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data