72 structures "https:" "https:" "https:" "https:" "https:" "University of Hamburg" PhD positions at CNRS in France
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necessary to robustly extract the various constituent elements of the comic book (detection of panels and speech bubbles, text recognition, segmentation, and character identification), and then to structure
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aerosol layer, for example by injecting gaseous SO2 into the stratosphere, which then transforms into sulphate aerosols. Variations in this aerosol layer can alter the stratospheric thermal structure and
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to access novel structures and reactivities. Targeted applications include "green" catalysis, the design of smart materials (magnetic, optoelectronic ), and surface functionalization. An innovative aspect
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of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained
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being reachable within an hour train ride). Website: https://www.iemn.fr/la-recherche/les-groupes/physique/nanostructures-qu… In the digital age, the energy consumption of microelectronic devices presents
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material for an intended structural application. To conduct this study, a nickel-based superalloy (Inconel 718) will be used as a model material because of its broad industrial applicability and its
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. Valyaev, manuscript in preparation. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR8241-VINCES-004/Default.aspx Requirements Research FieldChemistryEducation LevelMaster Degree
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laboratories such as the ENS Physics Laboratory in Paris or the Albert Fert Laboratory in Palaiseau for THz emission measurements. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8191-MATJAM-002
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) and the resulting THz performance. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8520-KONPAP-003/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster Degree
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning