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scalability and robustness to noise and variability under realistic hardware constraints. A core component is scientific programming: building simulation and data-analysis pipelines, validating algorithmic
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environmental impact). Alongside manufacturing, you will investigate how surface and material characteristics (such as roughness, hydrophobicity, surface energy, and material damping) influence the vibration and
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Noise Working Group, Final Report on A Method for Rating Amplitude Modulation in Wind Turbine Noise, Institute of Acoustics, Version 1, August 016,https://www.ioa.org.uk/sites/default/files/AMWG%20Final
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supports the young science of gravitational-wave physics and astronomy and includes observatory operations, analysis and dissemination of astrophysical observations, detector science and technology R&D
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/Administrative Internal Number: 500774 Job Summary: The Postdoctoral Research Associate will work in the Kinesiology department and will be responsible for leading data collection and analysis in conjunction with
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- Analytical and numerical calculation skills (vibration theory, fluid-structure coupling, complex modal analysis, perturbation methods, numerical code development). - Proficiency in Matlab and Mathematica
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Research Associate / Senior Research Associate, COM, Gynecologic Oncology, Obstetrics and Gynecology
Epidemiology, Public Health, or related field. Required Experience: In-depth knowledge of project design, implementation, and analysis within low-resourced context. May require experience with specialized
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Information regarding Classified Staff positions: https://www.cu.edu/cu-careers/special-instructions-classified-staff-applicants For those who meet minimum qualifications, the comparative analysis process will
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low electric noise; Measurement and preliminary analysis of ion current and Raman spectra of biomolecules in the device; The work duties may include teaching with no more than 10% of working time. The
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area including primary care research. The position requires knowledge of pragmatic biostatistics and high-level skills in statistical programming and analysis, as well as expertise in research