384 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at CNRS
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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and to characterize interactions with fire regimes. Ultimately, these results will also contribute to a combined paleo-modeling approach at the core of the RETROPEST project (https://anr.fr/Projet-ANR
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motivation letter to wolfgang.bacsa@cemes.fr and emmanuel.soubies@cnrs.fr . A formal application must also be submitted via the https://emploi.cnrs.fr/CNRS portal. However, we strongly encourage prospective
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obtain molecular orientation images of fluorescent or auto-fluorescent molecules, or those exhibiting SHG at a rate of several images per second. We will demonstrate the instrument's usefulness
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allowance of up to €300/year A site accessible by public transport + private parking Financial contribution to health insurance costs Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5278-ANITLI
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insurance costs Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5278-ANITLI-008/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldChemistryEducation
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technical potential (PPST), and therefore requires, in accordance with regulations, that your arrival be authorized by the competent authority of the MESR. Where to apply Website https://emploi.cnrs.fr/Offres
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as security, non-destructive testing, infrared imaging and