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of the current TDTR scheme will be adapted to 800 nm and 400 nm wavelengths for the probe and pump, respectively, which have been shown to give exploitable signal on graphene, but other wavelengths will be tested
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both electronic and nuclear systems as developed in both laboratories - Contribute to cryogenic tests of the 2nd nuclear stage already assembled and waiting to be characterized as a single stage (Tmin
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the regionalisation and perimeters of the different field sites covered by marine stations. • Qualitative research through interviews with a selection of scientists to examine the links between polar sciences and
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, implementation, testing, analysis, and dissemination of results (articles and conferences). The postdoc will work at the Saint Germain des Près site (Université Paris Cité) in the Perception-Action team's offices
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., “The MORA project”, Hyperfine Interact 240, 63 (2019), https://doi.org/10.1007/s10751-019-1611-x [2] N. Goyal et al., “Performance of the MORA apparatus for testing time-reversal invariance in nuclear beta
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• Implement and lead fMRI and EEG neurofeedback protocols during the test and research phases of the project. • Ensure recruitment, monitoring, and testing of participants (healthy volunteers and ADHD patients
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is to implement and test innovative proton polarization transfer approaches to characterize intermolecular interactions between macromolecules. The protein solid-state NMR team focuses on the study of
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of hollow core optical fibers for high capacity and quantum telecommunications applications. Additionally, the post-doctoral officer will collaborate with project partners to test and evaluate the performance
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modification. • Electrochemical characterization (impedance spectroscopy, polarization curves, stability tests). • Structural and microstructural analysis (XRD, SEM, TEM, XPS, etc.). • Collaboration with
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Diadem CROCUS project focuses on the rapid screening and testing of corrosion-resistant materials. The selected candidate will employ high-throughput methodologies to develop and characterize highly