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are recruiting a Post-Doctoral W/M whose work will focus on biological chemistry for the synthesis and imaging of non-natural sugars. The aim of the GlycoMechano project is to develop molecular tools capable
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sample preparation. Starting date: Flexible—ideally within 3 months. We prioritize finding the right candidate and will accommodate your transition timeline, including visa processing or PhD thesis
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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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be to quantitatively compare the predictions made by the digital twins of the patients' faces with the post-operative reality. - Collection and processing of post-operative scanner imaging data
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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the European framework) Know-how: Confirmed experience in stereotaxic surgery in mice Practice of behavioral analyses Ability to develop data analysis scripts Ability to design, prototype and integrate
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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measurements, identification and quantification of microstructural defects by optical confocal microscopy, fluorescence imaging, etc.). The elaboration processes that will be used are based on the formulation
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an appropriate subject area (or close to obtaining the PhD) -Knowledge of the publication process, with the candidate having published or be near to publishing at least one first author research article. -A good