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Description This post is to be filled as part of the ANR High-Vision programme (ANR-24-CE38-4079), funded for 4 years. The mission of the person recruited will consist of developing computer vision applications
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-cast: Lock Down the Traffic of Decentralized Content Indexing at the Edge." International Conference on Algorithms and Architectures for Parallel Processing. Cham: Springer Nature Switzerland, 2022.
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high-fidelity modeling of complex plasma processes, contributing significantly to fields such as fusion reactor design, material deposition technologies, and space propulsion systems. The project brings
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of the genomics and transcriptomics component, from DNA/RNA extraction to bioinformatics processing of the sequences and statistical analysis of the data. Finally, the person recruited will be responsible
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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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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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highly motivated candidate with a PhD in genomics, molecular evolution, microbiology, bioinformatics, or a related field. The candidate should have expertise in microbial genomics. He/she should be
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traceability and reproducibility of bioinformatics analyses • Presentation of results and writing of publications Where to apply E-mail jean-christophe.auguet@cnrs.fr Requirements Research FieldBiological
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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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biomineralisation are still largely unknown. In order to gain a better understanding of this process, the person recruited will have to use a combination of approaches 1. The work will start with genetic