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part of the NSF-funded Research Training Group, “RTG: Numerical Mathematics and Scientific Computing.” (https://rtg-nasc.rice.edu/ ) The successful candidate will contribute to the research group
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numerical validation of error bounds for model-order reduction based on optimal transport, in the context of electronic structure calculations. The postdoctoral researcher will be assigned to the Besançon
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, United States of America [map ] Subject Area: Numerical Methods for Nonlinear PDEs Appl Deadline: (posted 2025/08/27, listed until 2026/02/27) Position Description: Apply Position Description The Mathematics Department
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Full time, 2-year fixed term opportunity, located at the School of Mathematics and Statistics on the Camperdown Campus Opportunity to contribute to research on hybrid numerical-exponential
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at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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of key components of flue gases. Investigate the conversion of formic acid (CO) and conversion into hydrogen using simulation tools such as ANSYS FLUENT and CHEMKIN, delivering numerical information over
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noise. In this position, you will further develop our numerical simulations for outdoor sound propagation. You advance our existing simulation platform to consider atmospheric turbulence effects and make
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 7 hours ago
an engaging and collaborative research environment with access to state-of-the-art computing resources, field and laboratory facilities, and numerous opportunities for professional development and collaboration
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open