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diffraction and pair distribution function analysis, infrared spectroscopy, and µ-Raman spectroscopy. Chemical mapping and phase speciation will be evaluated by fluorescence and X-ray absorption spectroscopy
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dynamics, it is therefore necessary to correct aberrations over time to restore a diffraction-limited illumination beam. This will be achieved using an adaptive optics (AO) loop specially designed for in
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
outcomes. Molecular beam epitaxy (MBE) growth of GaAs nanowires on patterned Si/SiO₂ substrates. Structural analysis by electron microscopy (in situ TEM, electron diffraction, zone-axis indexing). Automated
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) compounds using X-ray diffraction (XRD) and diffusion techniques. The work will be carried out under the supervision of Dr. Maxime Deutsch and Dr. Dominik Schaniel. At CRM2, our research focuses on exploring
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biology through single-crystal neutron diffraction techniques. This position focuses on visualizing critical hydrogen atoms in carbohydrate-binding proteins and their complexes using neutron diffraction
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of the CNRS and the University of Limoges. He (She) will join the “Phot-fibre” team in the “Fiber photonics and coherent photonic sources” axis. He (She) will collaborate with colleagues from A*STAR Singapore
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. Moreover, the postdoc will developp simulations and analysis of a channel within the exclusive, tagged and diffractive working group of the ePIC collaboration. The post-doctoral fellow will be in charge of
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characterization of C and SiC fibers - Training on bench use (in particular heating techniques by Joule effect, laser diffraction, infrared imaging, pyrometry, preparation of micrometric samples, ...) - Technical
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, for the implementation of spin-photon and photon-photon logic gates. - To increase the spin qubit coherence by reducing the magnetic fluctuations of the environment, through techniques analogous to Raman cooling
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative