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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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wastewater. This includes sensors and sensor networks for detection of these targets and testbeds for the validation of technologies developed. INSTITUTIONS HIRING: Northwestern University University
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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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MSCA Doctoral Network position “Electric solar wind sail mission design” We are now looking for two (2) Doctoral Researchers. This PhD topic is part of the “Electric solar wind sail doctors” (E
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micro energy and smart sensing devices to tackle long-term challenges like “Healthier Citizens” and “Net Zero Human Impact.” She has collaborated for over 20 years with Aitor on projects related
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, energy management in wireless sensor networks, and streaming over wireless links. We invite qualified candidates to join our group and participate in cutting-edge research related to these topics
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to study soil-vegetation-atmosphere interactions. Your main responsibilities will include: Fly drones and process data of multispectral, thermal and LiDAR sensors Implement approaches to integrate drone data
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, international and interdisciplinary environment . PhD-students have the opportunity to take advantage of our network of excellence , consisting in partners of national and international research institutes and
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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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, 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