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machine learning approaches show issues in model performance and efficiency and vulnerability towards the application of noise over a large number of distributed models. These issues should be overcome by
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, the main leaving ligands and the major site of action, using for the first time, synchrotron μ-XAS and XFM and vibrational spectroscopic (VS) microscopy in the lead laboratory of Prof. Lay (USyd) in
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terahertz (THz) radiation and the collective vibrational modes of biological macromolecules is an emerging field in physical chemistry. Terahertz radiation can be exploited to studying spectroscopic and
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build on ISEY’s previous research which found that overall noise levels in a class of 4–5-year-olds were lower when matched activities were conducted outside (even on urban school grounds) compared
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all, the traditional statistical methods are not suitable for big data due to their certain characteristics: heterogeneity, statistical biases, noise accumulations, spurious correlation, and incidental
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how AI can be used to analyse speech and language in this type of research. The project will build on ISEY’s previous research which found that overall noise levels in a class of 4–5-year-olds were
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scattering experiments with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise-ratio, computing the structure from such data is
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”. Research topics on vision based techniques for vibration measurements, artificial intelligence techniques, data analysis and signal processing techniques for structural health monitoring are covered in
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experience in working with vibration or acoustic emission sensors would be advantageous Our offer This research, part of a large EU Project, will be carried out primarily at Empa in Dübendorf but may also
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circuits, low noise and high frequency cryogenic electronics, clean room technologies, and micro and nanofabrication. A2 A comprehensive and up-to-date knowledge of the wider subject area or subject