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induced by rail traffic. Design tools for monitoring vibrations induced by rail traffic. Collaborate in the writing of scientific articles. Where to apply Website https://seuelectronica.upc.edu/en
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clinical practice opportunities, and are offered in 13-week blocks, which may be renewed up to a maximum of 39 weeks. $2,500.00 incentive bonus with first 13-week assignment. Please visit: https://https
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and energy services, fostering a culture of excellence while effectively stewarding university resources and the environment. If you would like to learn more about UES, please visit: https
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 3 days ago
bulk LWIR materials, and further work is needed to fully exploit this approach for high QE and low noise in large LWIR arrays. Significant enhancement is also possible in the design and fabrication
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practice, the theoretical framework of maximum-entropy null models will be used to develop the tools necessary to remove noise from weighted networks representing positive or negative interactions on social
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deposited on polystyrene surface [1-3]. In this method, the nano-metric thermal vibration of the bubble drives the mo-tion of the cantilever. We have shown that the spectrum of the thermal oscillations
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involve exposure to various elements such as chemicals, dust, fumes, cold, heat, noise, vibrations, or dampness, where work exposes the employee to potentially non-disabling injuries. Duties may require
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acoustic monitoring through research in dynamic noise mapping. You will develop real-time methods for road traffic noise assessment, including AI-based traffic classification and acoustic modeling of mixed
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: Optomechanics explores the interaction between light and mechanical vibrations [1]. As a typical example, one can consider a Fabry-Perot cavity (i.e., optical mode), in which one of the two mirrors is vibrating
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multiple 2D images and multiple channels, (d) optimizing 2D projection viewpoints (dose reduction and time savings), (e) applying artificial intelligence and traditional machine learning models to noise