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University of California Agriculture and Natural Resources | Davis, California | United States | 27 days ago
farming practices. The Specialist will examine the potential of agricultural technologies, such as drones, spectral analysis, and sensors, to help California growers ensure the safety of their harvest while
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, ensemble Kalman filters, and physics-informed neural networks (PINNs) enforce conservation laws while fitting observations. The key is to apply the vast amount of physical insights developed in turbulence
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. For further information on the School go to https://www.unsw.edu.au/science/our-schools/chemistry The Senior Research Associate is a central role within the ARC funded Industry Laureate project, leading
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2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
mechanical stability. You will support data acquisition and sensor setup for temperature profiling, model calibration and validation. You will apply multi-physical numerical modeling to develop 3D coupled
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/38339 Job Number SE156824 Position Information Department or Unit Name Fowler School
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related to project implementation details. Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC
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range (beyond 24 keV): measure and validate reference data in synchrotron beamtimes together with our international collaborators. Advance solid-state monitors: deploy new diamond sensors, model
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems