Sort by
Refine Your Search
-
Listed
-
Employer
- NIST
- University of Dayton
- Oak Ridge National Laboratory
- Pennsylvania State University
- University of Texas at Austin
- Zintellect
- Princeton University
- Stony Brook University
- Carnegie Mellon University
- Michigan State University
- Northeastern University
- Texas A&M University System
- Texas A&m Engineering
- University of California, Los Angeles
- University of Houston Central Campus
- University of North Carolina Wilmington
- Columbia University
- Fitchburg State University
- Purdue University
- Texas A&M AgriLife
- The Chinese University of Hong Kong
- University of Maryland
- University of North Carolina at Chapel Hill
- University of Texas at Tyler
- University of Virginia
- Washington State University
- 16 more »
- « less
-
Field
-
research in PPPL-relevant AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied
-
. Some field work is required for instruments, sensors and equipment setup to facilitate data collection. This position provides an excellent opportunity for the candidate looking to develop skills
-
++ programming skills. Knowledge of various aspects of drone applications in agriculture including UAV types, sensors, regulations, power systems, communication technologies, and image processing algorithms
-
dynamic environments, including navigation in complex spaces. - Perception and Sensing: Leveraging diverse sensors and advanced perception techniques to interpret and interact with the physical world
-
decision making, whole farm management, efficiency, productivity, profitability, and sustainability. Technologies used should include some of the following, UAS, robots, sensors, internet of things
-
, whole farm management, efficiency, productivity, profitability, and sustainability. Technologies used should include some of the following, UAS, robots, sensors, internet of things, artificial
-
submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
-
program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge and
-
researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF) and
-
for advancements in critical DoD areas, such as integrated hypersonics, directed energy, advanced materials, trusted AI and autonomy, robotics, FutureG, human-machine interfaces, and integrated sensors. We