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-Ferrand area (63178 Aubière). The position is assigned to the Probabilities, Analysis and Statistics (PAS) research team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6620-VALERIE-018
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-Analysis of the interaction between blood and endothelium LIPhy (Interdisciplinary Physics Laboratory, UMR5588) is a joint CNRS-Université Grenoble Alpes laboratory largely focused on the interfaces
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the experimental results. - IR laser spectroscopy experiments - Quantum chemistry calculations - Analysis and communication of results The postdoctoral fellow will work within the SYSIPHE team at the Orsay Institute
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libraries (which will be transcribed into mRNA) using cutting-edge molecular biology methodologies. - Adaptation and use of a microfluidic droplet screening pipeline dedicated to mRNA analysis. The recruited
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administration), the bash language, and computer task schedulers for computing clusters. • Practical knowledge of the Python language and its scientific computing and data analysis libraries. Website
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and process behavioral and electrophysiological data • Model behavior based on diffusion models and make explicit link with neurophysiological data • Conduct detailled statistical analysis • Write
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membrane proteins - Cryogenic electron microscopy (cryoEM) - Analysis, formatting, and presentation of results - Oral presentations in English The project will be carried out under the supervision of Estelle
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spectroscopy and data analysis. Experience with methyl-specific isotope labelling, NMR exchange experiments (CEST, CPMG) and/or ligand screening by NMR would be an advantage. A B1 level of English is required
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to the comprehensive analysis of field samples and the mathematical modeling of cellular interactions. LPHI includes four teams working on parasite models (Toxoplasma and Plasmodium), thus offering a stimulating working
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well as optical measurements on the platform's other instruments (infrared photoluminescence, Raman). *Development for operando and in-situ measurements, both hardware and software. *Perform data analysis