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environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
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natural- and engineered-wood-products. These calibration measurements, analysis tools, resulting material property sets, and comparisons of experimental measurements and numerical simulations of full-scale
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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for numerical and analytical approaches to quantum many-body systems, in addition to a wider experimental and theoretical collaboration. The candidate should have a track record in condensed matter theory
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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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infrastructure. To close numerous knowledge gaps and address technological bottlenecks in hydrogen safety the use of cutting-edge modelling and simulation tools is needed. It is recognised that the most advanced
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
developed. Subsequently, experimental and numerical studies are foreseen on materials that are more difficult to use in L-PBF see more here https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01
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stellarators alike. The candidate will also perform numerical simulations with both the existing and improved versions of the SOLEDGE3X code, coupled with the Dust Injector Simulator (DIS) code, of powder
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full-wave simulations and characterize the relevant metamaterial structures. Extend existing analytical tools and numerical models. Prepare and publish scientific articles and reports and co-supervise
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full