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the computational cost of conventional numerical weather prediction systems, opening new possibilities for large forecast ensembles and event-based climate attribution. The PhD researcher will evaluate
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individual characteristics, including personality and motivation, are likely to influence both learning processes and long-term performance. This project addresses these questions using a dynamical systems
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learning-assisted methods: data assimilation, uncertainty quantification (UQ), and machine-learning-based moment closure models. · Multiscale modeling: kinetic limits of many-particle dynamical systems
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moment closure models. • Multiscale modeling: kinetic limits of many-particle dynamical systems, hydrodynamic limits of kinetic models, and semiclassical limits of quantum systems. • Theoretical analysis
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stochasticity. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7010-JERBEC-002/Default.aspx Requirements Research Field Physics Education Level PhD or equivalent Research Field Chemistry
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: https://www.jobbnorge.no/en/available-jobs/job/302786/up-to-3-phd-positions-in-mathematics-affiliated-to-the-lie-stoermer-center Deadline: Aug 31, 2026 (Add to Calendar) This employer is not
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Mathjobs.org | 28 days ago
, dynamical systems, partial differential equations, and scientific computing. Candidates interested in developing and analyzing mechanistic mathematical models motivated by biological and therapeutic
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, dynamical systems, partial differential equations, and scientific computing. Candidates interested in developing and analyzing mechanistic mathematical models motivated by biological and therapeutic
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methodological strengths include dynamical systems, multiscale mechanistic modelling, scientific computing, and scientific machine learning. The department also supports experimental research through laboratory
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of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and distributed decision-making. Applicants must have a PhD in