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for Digital Twin Earth (AI4DTE). The main goal of DTEClimate project is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete
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Technician II, Orthopedic Surgery Posting Number req24704 Department Orthopedic Surgery Department Website Link https://ortho.arizona.edu/ Location University of Arizona Health Sciences Address Tucson, AZ USA
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indirect drivers in terrestrial and freshwater ecosystems through the integration of multi-sensor Earth observation (EO) data, innovative in situ data and products (including citizen science), as
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systems, devices (including fabrication) and sensors, robotics and automation, artificial intelligence and machine learning, advanced electronics, and communications. Our faculty are particularly encouraged
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systems for information and communication technologies, in particular displays, image sensors and secure communications. The main drive of the group is to carry out applied research which bridges academia
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The students will be enrolled in the structured PhD programme in Computer Science at Sapienza University of Rome, Italy: https://www.uniroma1.it/en/offerta-formativa/dottorato/2025/computer-science About the
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
of photonic chips and integrating chips into larger instruments. Applications include remote sensors like microwave photonics radiometers, compact lidar systems. We are interested in miniaturization of existing
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of critical devices that serve as control points for campus HVAC systems. Critical devices include but are not limited to relative humidity sensors, carbon dioxide sensors, system flow stations, and
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hands-on experience with modern robotic welding cell, advanced imaging sensors (including high dynamic range camera and arc/melt-pool vision), real-time data acquisition, and in-house metallurgical
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correlated with plant traits such as yield and stress resilience Collaborate with sensor teams, plant scientists, and data engineers to develop robust, reproducible data workflows Contribute to the development