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26 Aug 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Application Deadline 1 Sep 2026
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25 Aug 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Application Deadline 31 Aug 2026
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24 Aug 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Application Deadline 30 Aug 2026
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23 Aug 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Application Deadline 29 Aug 2026
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22 Aug 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Application Deadline 28 Aug 2026
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21 Aug 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Application Deadline 27 Aug 2026
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 17 days ago
these raw data. Such a processing is performed by scientific softwares called calibration and imaging pipelines. One of the current worldwide interferometric pipeline for radio-telescopes is DDF
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, and engineering. - Creativity, independence, and enthusiasm for tackling ambitious scientific challenges. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7083-GUIGIN-015
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to the preparation, quality control and analysis of the different datasets. They will implement statistical and data analysis methods appropriate to the scientific questions addressed by the project
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additional programming languages is an advantage Experience with Linux/UNIX-based scientific computing environments and modern software development practices Experience with parallel computing and high