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transform the structure and function of the entire system. This approach will be implemented in soft mater systems, using artificial molecular motors to transduce various kinds of energy sources in mechanical
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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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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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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 create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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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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allow researchers to explore alternative approaches. Target trial emulation is a structured framework to design observational studies that mimic randomized controlled trials, while reducing methodological
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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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and the caprock. While chemo-hydrodynamic pattern formation has been extensively studied in porous media, for instance in polymers, its implications on the deformation and structural integrity of solid
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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