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the understanding of geodynamic processes across different spatial and temporal scales and to contribute to the assessment of natural resources. The candidate will be co-supervised by A. Lahfid (BRGM) on the
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on a synchrotron with submicrometric spatial resolution. Spectroscopic data on As, Bi and W will be collected in order to determine their local coordination environment and oxidation state. In order to
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the modularity and the high degree of addressability of self-assembled DNA nanostructures as a biosynthetic tool to probe fundamental aspects of biology. The recruited postdoc will develop two main projects: (1
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8067-DAMCHE-015/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience