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Field
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Vibration Techniques Concepts, operation and maintenance of ultra-low vibration experiments, including control of mechanical, acoustic, cabling, vacuum-line, and cryogenic noise. • High-field Superconducting
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refrigerators, based on both liquid 4He and cryofree cryostats. • Ultra-low Vibration Techniques Concepts, operation and maintenance of ultra-low vibration experiments, including control of mechanical, acoustic
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 7 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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optimizing the squeezing of the vacuum to minimize quantum noise, a prototype cryogenic interferometer, using machine learning for nonlinear feedback control, devising techniques to quell opto-mechanical
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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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spontaneous orbital ferromagnetism. The research will combine advanced sample fabrication, optimization of magnetic sensors, and low-temperature, low-noise measurements of the transport and magnetic properties
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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 challenging, and new
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Engineering Group or Departmental Website: https://web.stanford.edu/group/magiclab/home.html (link is external) Does this position pay above the required minimum?: No. The expected base pay for this position is
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closed-loop optimization. Benchmark AI-assisted methods against classical control approaches and assess scalability and robustness under realistic noise conditions. 2. Neural Ansätze for Quantum