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PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
, C. (2023). Approche sur grilles parcimonieuses pour accélérer la méthode PIC (PhD, Toulouse 3). - Participate in the Exascale porting of 3D sparse-PIC code, including distributed parallelism
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tested using CODE V software and/or software developed in the laboratory (Fibertech platform). In parallel, the experimental work will initially involve precise measurement of the laser's transverse
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schemes for their discretization Knowledge of numerical optimization Knowledge of Python, Matlab and FOTRAN90 compiled code, use of high-performance parallel computing servers Ability to synthesize and
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
) of the theoretical and practical results of this work Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-08695 Requirements Skills/Qualifications Linear algebra, algorithms, parallelism C, C
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parallel experimental work providing test data for comprehensive model verification. - Enhance the model's accuracy by implementing improvements in key areas such as residual stress calculations, stochastic
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microscopy, FTIR, chemical analyses, etc.) and will be analysed under different growth conditions such as light intensity, calcium, AEE or HCO3 /CO2 concentrations. 3) In parallel, other experiments will be
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writing, presenting your work, publishing papers, and leading projects to completion. In parallel, you will gain invaluable first-hand experience in setting up and managing a young research team. We
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. The research themes of the Autonomous Critical Embedded Systems (ACES) team revolve around concurrent systems in general (parallel systems, distributed systems, etc.), for which non-functional properties such as
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carried out in two phases: First, the task will be to characterize the wood sawdust-based mixture using benchtop characterization devices such as a parallel-plate rheometer, MFI, microscope, etc. This step