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, using the ModLoc approach developed by the group (Nature Photonics, 2021). A key aspect of the project will be the implementation of an original detection strategy based on oblique plane re-imaging
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reproduce clonally (the clones can be distinguished visually). The dynamics of the species and clones are very rapid, in terms of both density and the number of sites occupied. These species have recently
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this limitation by developing a unique platform that combines high-intensity terahertz pulses with ultra-cold environments. This innovative approach will enable researchers to observe and control the motion
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Description The aim of the postdoctoral research is to analyse the impact of recent intra-seasonal to interannual variability in the boreal winter dry season on forests in Central Africa in terms of greenness
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, electron microscopy, X-ray diffraction, etc.). Methodology: • Design and synthesize model substrates to measure the activity of enzyme mimics. • Develop analytical methods to detect and quantify chemical
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The postdoctoral researcher will develop a novel active remote sensing method for the detection and characterization of stratospheric aerosols by adapting the AEROTYPro/GRASP methodology to observations from
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microbial hosts and viruses, as well as their impact on GHG emissions. The project will rely on both molecular approaches to detect viruses and their microbial hosts, and analytical measurements of CO₂, CH
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microscopy modalities aimed at pushing the limits of observation, both in terms of acquisition speed and imaging depth, for applications ranging from biology to the study of nanomaterials. These developments
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responsibility in the construction of the future CMS tracker at the HL-LHC. The successful candidate will make strong contributions to the integration activities of silicon detection modules on the mechanical
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(LORIA) in Nancy (France).analysis. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7503-MARMIN-003/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research