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the multi-scale multi-physics nature of the problem, solutions for a reactor relevant operational regime are hard to achieve given slow numerical convergence rates. An employment of fast numerical tools
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training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years of postdoctoral experience
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to a vibrant research community and numerous modern facilities. For questions or informal inquiries, please contact David Boukal (dboukal@prf.jcu.cz ). Where to apply Website https://jobrxiv.org/job
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expertise in numerical modelling. The post is available from 1st March 2026 for 12 months in the first instance and could be extended further. See http://rccs.hw.ac.uk/ for more details. Key duties and
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Position in Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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evaluation Knowledge of numerical simulation, for example with land surface or hydrological models Genuine interest in data science and earth sciences Good organizational skills and ability to work both
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 12 days ago
-doctorate (CEA LIST) will aim to develop numerical modeling of Non-Destructive Testing (NDT) on the virtual grain structures obtained. Context: In the nuclear industry, the integrity of welded components is
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abilities, this work may involve more numerical or analytical aspects. References I. Cheddadi, M. Génard, N. Bertin, and C. Godin. Coupling water fluxes with cell wall mechanics in a multicellular model of
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we