64 structures-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions at CNRS in France
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. This laboratory is one of the structuring forces of the landscape of materials and their applications in the academic and industrial worlds, both regionally and nationally. For more information on the IS2M, please
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part of the research theme 'Planets and Moons', and will be integrated within the ERC - IceFloods (https://lpg-umr6112.fr/en/erc-icefloods/ ). This thesis will aim to characterize the contribution of ice
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the conditions of their formation as well as their structure and stability. The transformation or formation of extra species during oxidative water treatment processes will be studied varying different parameters
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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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filled. Shortlisted candidates will be invited to a remote interview in May 2026. About LAPTh (https://www.lapth.cnrs.fr ): LAPTh is a joint research unit (UMR) of CNRS and Université Savoie Mont Blanc
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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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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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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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at the Center for Theoretical Physics in Marseille, France. Wikipedia is the classical example of a successful, large-scale collaborative project. Its production, structure and functioning have emerged through
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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