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the experiments. You will also have the opportunity to carry out your own simulations with our numerical model. Qualified applicants must have: A strong drive to move the frontiers of science. Ample experience with
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— Formalization of the applications: 2.1 — The Applications must be accompanied by the following documents: a) Application minute for the competition addressed to the Rector of the University of Aveiro; b) Copy
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finite element modeling as the foundation of a comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and
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Position Description The Department of Earth and Spaces Sciences at the University of Washington seeks a Postdoctoral Scholar to work on numerical simulations and data analysis to inform the search for life
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-access numerical workflows that integrate geochemistry, geochronology and/or thermochronology data to calibrate and evaluate numerical geological analyses and simulations. Dedicate 2 days/week to EarthBank
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) Application minute for the competition addressed to the Rector of the University of Aveiro; b) Copy of detailed curriculum vitae structured according to the items under point 5; c) Other documents
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with these collaborators. The research will involve both analytical work and numerical computations. The balance between analytical and numerical type work is flexible and can depend on the preferences
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comprehensive design framework that integrates simulation, experimentation, and machine learning. Fall-related injuries are a leading cause of morbidity and mortality in aging populations, making this work a
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research activities within POLIMA. The position is available starting 1 January 2026. The successful candidate will work on developing semi-analytical and numerical techniques to simulate electron-beam
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time