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) are an important tool for predicting the impacts of climate change on communities and ecosystems, but their accuracy depends on how well they reflect factors that ultimately drive plant fitness, including resource
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biological data from imaging and to support individualized dosimetry in theragnostic protocols, - Developing and applying standardized image analysis pipelines and translational impact to ensure reproducible
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of individual ice crystals and grain boundaries. This postdoctoral project aims to leverage these developments to better constrain the origin, structure, and evolution of basal ice beneath the Greenland and
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), led by SNCF. The project aims to develop a methodology and tools for anticipation, spatial optimization, and support of SERMs (Metropolitan Regional Express Services) in French regions. This project is
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such structured communities first emerge are still unclear. Also, how the current and past environmental characteristics affect host-associated microbiomes is unclear. The idea of this postdoc is to expand a
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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density than conventional hydrocarbons and can reach high temperatures (>3000 K). However, combustion of these particles generates condensed products that can affect overall engine efficiency, foul exhaust
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evolution of the lithosphere of the Aquitaine Basin. -The postdoctoral researcher will be recruited within the framework of the IDYLLE project (Impact of Lithosphere Dynamics and Basin Evolution
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project seeks to quantify the atmospheric processing and fate of radioactive iodine, enabling to better assess impacts on health and the environment following nuclear accidents or past nuclear tests
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impact measurements, AFM imaging, and AFM-SECM experiments. The SEEAFM project will be developed within the Electrochemistry group of the IMF team at the CEISAM laboratory. Where to apply Website https