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of passive radiative cooling in daylight (net cooling power and temperature differences). Design and execute experiments to compare thermal performance under controlled and real conditions. Develop and operate
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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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-on experience while ensuring all work is performed safely, efficiently, and in strict compliance with the National Electrical Code (NEC) and the Lab safety protocols. PPPL apprenticeship website: https
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with sparse aerial and dense terrestrial sensors for enhanced 3D spectrum use prediction. DC3: RF-sensing for ambient IoT devices and coexistence with legacy devices Host: IMDEA Networks Institute
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information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition, the candidate should develop robust manipulation
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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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characterization to device integration. You will fabricate and test cutting-edge device architectures, including 2D Complementary FETs (CFETs), memory devices, and sensors, pushing the boundaries of what's possible
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Marie Skłodowska-Curie Industrial Doctorate (ENGAGE Network) 21.10.2025, Wissenschaftliches Personal We are looking for a Doctoral Candidate (DC 3) to work on as-built model updating using sensor