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(parallelization, efficient data structures), numerical testing, and results analysis. Familiarity with numerical methods, scientific programming in C++, and an interest in reservoir engineering problems
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
approaches include MHD, Vlasov, and hybrid codes run on computers ranging from PCs to massively parallel computers, while analytical work involves linear and nonlinear instability theories. Location: Goddard
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characterize microplastic contamination in urban environments and to estimate the annual microplastic loads discharged into receiving rivers at the scale of a given territory. In parallel, the postdoctoral
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month ago
a competition for the position of postdoctoral position (assistant professor) in the NCN Sonata-18 project entitled: Parallel and exact algorithms for path problems in directed graphs. About the
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parallel project into microbial consumption of hydrogen in the subsurface. Both departments are part of the Faculty of Science and Engineering at The University of Manchester, which hosts world-leading
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for the electrochemical community. In this work, we aim to study the mechanical properties of electrodes during charge/discharge cycles, in parallel with the ionic insertion/deinsertion phenomena observed by
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development. To validate your developments, you will be provided with access to the top European supercomputers (Adastra, Jean-Zay, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR3441
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strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills and ability to work both