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12 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire de Physique Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 1 Aug 2026 - 23:59
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
and collaboration among users. Most of the collaborative file system services such as GoogleDrive and Dropbox rely on a central authority and place personal information in the hands of a single large
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27 Sep 2026 Job Information Organisation/Company CNRS Department Institut de Science des Matériaux de Mulhouse Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
will study how computer vision models, multimodal models, and large language models can be adapted or fine-tuned for sign-language data. This may include keypoint-based, video-based, or hybrid
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—are found in large numbers across numerous archaeological sites. Drawing on the conceptual framework of memetics and transmission chains (i.e., the transfer of information and cultural practices within social
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4 Jul 2026 Job Information Organisation/Company CNRS Department Institut NEEL Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Application Deadline 24 Jul
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut de Recherche sur le Cancer et le Vieillissement, Nice Research Field Biological sciences Biological sciences » Biology
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19 Sep 2026 Job Information Organisation/Company CNRS Department PHysicochimie des Electrolytes et Nanosystèmes InterfaciauX Research Field Chemistry Physics » Chemical physics Physics » Biophysics
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4 Jul 2026 Job Information Organisation/Company CNRS Department Institut des Sciences Analytiques Research Field Chemistry Biological sciences Pharmacological sciences Researcher Profile First Stage
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investigates the reproducibility of HP data processing pipelines using large language models (LLMs) to replicate published computational results. According to Starace et al. (2025), the state of the art in AI