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Field
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of Electrical and Computer Engineering aimed at developing hands-on methodologies for the courses Antennas and Propagation, Propagation and Antennas, Radiowave Propagation for Communications and Sensors
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physics, radiative transfer modeling, computational imaging, satellite sensor design, and artificial intelligence while collaborating with leading researchers in academia and government. Essential Duties
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The School of Computing and Engineering (SCE) brings together expertise across computing, engineering and technology, with a strong focus on applied teaching, research and innovation. The School supports
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mechanics, computer vision, and immersive digital environments. The ideal candidate will leverage expertise in physics-based simulation, computer vision, and mechanical design to support our current research
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numerical simulations (primarily electromagnetic but also multi-physics modeling) while conducting technical assessments and literature reviews of emerging classical and quantum sensor technologies to inform
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element simulations. An interdisciplinary facility that houses an extensive set of equipment and instrumentation for materials scientists, electrical engineers, computer engineers, chemists, applied
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simulations, the candidate will investigate the emergence of turbidity maxima, the formation of fluid mud layers, and the mechanisms governing sediment retention in estuaries. Particular attention will be paid
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-generation diamond membrane quantum sensors to enable precision electromagnetic field mapping in HEP experiments. This position bridges detector R&D, materials science, and quantum information
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field directly related to aircraft systems, aircraft modifications, airborne instrumentation, computational modelling, aerospace engineering, atmospheric measurements, flight sciences, or a related
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parameters (periodicity, thickness, refractive indices) and material properties to maximize the ultrasonic sensitivity of the sensor. 3. Experimental Validation: Comparison of the predicted simulation