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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 13 days ago
parallel and heterogeneous architectures, permits the integration of advanced interoperable CFD components, including in particular Finite Volume (FV) as well as Finite Element (FE) methods, namely
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, jupyter notebooks, etc. The research engineer will carry out: i) Analysis of the issues related to the different use cases. ii) Performing massively parallel simulations iii) Development of the necessary
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of scientific activities (1 conference, 1 research school, 1 or 2 workshops, 2 paired research projects + any other parallel activities such as Masterclasses, FRUMAM conferences, etc.). It is organized
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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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researchers working in parallel: one in Australia (University of Adelaide) and the other in France (University of Grenoble Alpes). Interactions with doctoral students starting in 2026 are also planned on both
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PhD) EUR 3,000 Starting package from EUR 10,000 to EUR 20,000 per year Applicants will be encouraged to apply for complementary external funding (e.g., MSCA or EMBO fellowships) in parallel to/following
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functionalities to enable these features. In parallel of this work, the retained physicist will be able to start or continue researches on different science topics, for galactic or extragalactic objects
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alloying or electrodeposition (e.g., Prussian Blue), while benefiting from plasmonic enhancement of spectroscopic sensitivity. In parallel, functionalizing TFBGs with MOFs (ZIFs) and amine groups will allow
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for an accurate simulation of time-dependent flows, enabling sensitive applications such as aeroacoustics. Furthermore, the high scalability on massively parallel computers can lead to advantageous turn-around
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and medium-scale computing environments (Linux, job schedulers, parallel computing). • Familiarity with data analysis, visualization, and handling large scientific datasets. • Ability to run, adapt