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implementation and applications in other scientific and engineering domains. Job description To reliably use simulation-generated predictions in science and engineering, one needs trustworthy mathematical models
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and
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Pădure (cristina.padure@ase.ro ). You can find more details below, as well a short presentation of the project. Non-Gaussian self-similar processes : Enhancing mathematical tools and financial models
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the possibility of extension. We are looking for PhDs in Mathematics, with experience in Hyperbolic Partial Differential Equations (PDEs), or more in general, evolution equation in the sense of Petrowsky, and who
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research topics include mathematical modeling of microtubule dynamics in neuronal cells, analysis and simulation of RNA transport and organization in developing cells, and parameter inference and
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others, pseudospectra theory, and empirical data from DRAGNet and global demographic databases (COMPADRE, COMADRE, PADRINO). The project combines mathematical modelling, simulation, and empirical synthesis
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the opportunity of further development. Within the research project, the postdoctoral researcher will study pattern formation and their stability in thin-film equations, which includes mathematical modelling, well
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date is March 1, 2026, or as mutually agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD degree in Mathematics or a
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical