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mechanical properties, based on vibrations generated by ambient noise in the reactor. Noise sources in the reactor can be of various origins. Given the lack of knowledge or the difficulty in determining
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. Empa is a research institution of the ETH Domain. Environmental noise from air and ground-borne traffic is an underestimated problem. In our research group, we develop new technical solutions to mitigate
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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
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of Science at UvA. What are you going to do? The aim of the project is to use advanced Machine Learning techniques to predict the anharmonic vibrational spectra of large Polycyclic Aromatic Hydrocarbon (PAH
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weaknesses. For instance, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting
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intramolecular vibrational Stark effects in order to characterize them and use them for conformational assignment purposes. This original study will mainly consist of performing gas-phase IR laser spectroscopy
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Summary The laboratory of Xiying Guan is recruiting a postdoctoral fellow to work on bone-conduction hearing mechanisms. During bone-conduction stimulation, the skull vibration simultaneously
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 6 days ago
, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting technologies have
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results at national and international conferences and other technical meetings, and delivering programmatic milestones. Major Duties/Responsibilities: Characterize vibrational spectra from equipment
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways