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, China [map ] Subject Areas: Computational Mathematics, Applied Mathematics, Artificial Intelligence, Numerical Analysis, Optimization, Statistics Appl Deadline: none (posted 2024/08/02 05:00 AM
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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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: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and composites
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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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education in China. Our research covers the core disciplines of modern mathematics, with robust established strength and numerous active research teams in l pure mathematics, including Operator Theory and
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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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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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and with the 2AT team at Institut Pprime to develop a shape-optimisation tool based on resolvent analysis, applied to landing-gear aeroacoustics The researcher will develop a numerical methodology based
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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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Center for Astrophysics | Harvard & Smithsonian | Cambridge, Massachusetts | United States | 1 day 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