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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal
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structural data, which requires laboratory based as well as on-site analyses. The main objectives are as follows: Compile legacy data of stained glass windows, this requires extensive data curation and
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natural organic matter well characterized extracts (IHSS), the study will be performed on real water resources. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8516-JUSCRI-009
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HTML user interface for visualising the final data resulting from the screening. - Contribute to the development of an original method for searching for pharmacophores based on raw data from virtual
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as part of this postdoctoral position. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-CAMBAK-004/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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, particularly in the synthesis of promising materials and in spectroscopic techniques such as EPR (Electron Paramagnetic Resonance). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7314-FRESAU-017
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CARBON WATERS. The project is funded by the Agence Nationale de la Recherche (ANR). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5635-MIKBEC-031/Candidater.aspx Requirements Research
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, literature analysis, and real-condition experimentation. Main Objective: Investigate the thermodynamic, kinetic, and operational conditions influencing the formation of certain compounds in an industrial
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: 10.1038/s41566-024-01507-x. [2] T. Gaillard et al., Adv. Funct. Mater., p. 2509897, June 2025, doi: 10.1002/adfm.202509897. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5253-AURBES-003