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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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, analysis, and interpretation of the data with existing software. The successful candidate will have a strong background in applied seismology and some experience in seismic data processing. Basic knowledge
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the development of numerical models. Metrics to quantify damage detection effectiveness, such as Probability of Detection (POD) and Model-Assisted POD (MAPOD), will be identified to develop a figure of merit
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must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic
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highly qualified Research Engineer to join the Computational Engineering and Analysis Research Group (COMEA) at Turku University of Applied Sciences. The position focuses on Computational Fluid Dynamics
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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | 7 days ago
world-class scientists, contribute to current and on-going research, and develop essential skills in data analysis, numerical modeling, and scientific communication. With personalized mentorship, access
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Fourier analysis in particular - Practical knowledge of numerical/symbolic computation (Sagemath, PARI/GP, Mathematica, etc.) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9009
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and a strong collaborative network. It is the first study to experimentally and numerically assess MP-induced albedo changes, contributing critical insights into the intersection of plastic pollution
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, Applied Probability, Partial Differential Equations, Numerical Analysis, Scientific Computing, and Optimization. Candidates with portfolios that align with Saudi Arabia’s national priorities for research