Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
-
Field
-
independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
-
independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
-
independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
-
focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems. Key Responsibilities Develop computer vision and deep learning algorithms
-
develop science-driven analyses that help inform future sensor requirements. The position also provides opportunities to investigate how modern artificial intelligence and scientific machine learning
-
data collection, sensor algorithm development, marine environmental modeling, and research, development, testing, and evaluation (RDT&E) of uncrewed systems (UxS) and ocean observing technologies. The
-
University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
with clinicians, engineers, researchers, and industry partners to transform multimodal health data—including wearable and sensor data, medical images and video, speech, human movement, physiological
-
hardware and FPGA background, who is interested in contributing substantially to both research and teaching. The ideal candidate should enjoy developing complete embedded systems, from sensor and