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Extend the formally verified compiler CompCert with a Rust front-end. This prototype compiler will take as input the LLBC representation generated by the Charon tool (from the official Rust compiler
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(C) equipped with a cold-field emission gun, additional Lorentz stage placed above the objective lens for field-free imaging, an image corrector for wide fields of view (CEOS B-COR), several electron
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differentiation, drug screening assay development, high content confocal imaging and computational analyses of confocal images. Your profile... We are looking for a highly motivated and enthusiastic scientist with
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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | 2 months ago
that align ground-level images with satellite imagery, integrating time-series and multi-spectral data for a more comprehensive geospatial understanding. Improve the model’s capacity to interpret textual
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for remote sensing data analysis.- Satellite image time series processing.- Oral and written communication in English and French. Savoir faire technique : - Working in Linux OS and HPC. - Advanced python
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imaging techniques) to the resulting visual appearance (measured with appearance-based methods). The post-doc will be supervised by Bilge SAYIM at the École Normale Supérieure (ENS), Université PSL, within
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in Python. - Skills in 3D image rendering (optional) - First year post-doc are encouraged Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5169-ANTWYS-007/Default.aspx Work
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phenotypes • Analyze images and other data • Optimize induced pluripotent stem cell (iPSC) protocols • Disseminate and enhance research findings • Establish standard operating procedures (SOPs) This project is
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, Impresso - Media Monitoring of the Past (https://impresso-project.ch/ ) is an interdisciplinary research project that uses machine learning to pursue a paradigm shift in the processing, semantic enrichment
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GRAND prototype deployed in the Gobi desert (China), and on the R&D of the larger-scale phase of the GRAND experiment, including the development of a framework for multi-messenger alerts/follow-ups