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the development of reformulation or relaxation techniques. Problem and Objective of the thesis This project proposes to address the issue of efficient analysis and synthesis of interconnected heterogeneous systems
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-mentioned scenarios at laboratory scale; a parametric analysis with respect to loading conditions should be taken into account; – participating to the update of the Digital Image Correlation software
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
/PhD_Thesis_ENACT_proposal_2026.pdf Context: Landmark detection, description and matching is the cornerstone of autonomous visual localization systems deployed in unknown environments. While most widely-adopted and accurate
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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superstructure combining cycles from the literature and cycles generated by AI models. -- Use of process representation formalisms (graphs, SFILES) and process synthesis tools. - Solving the “Product Design
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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of error-controlled biomechanical models in SOFA / FEniCSx / SOniCS for real-time use on AR devices Design of Bayesian neural-network surrogates and graph-based models for tissue deformation and brain shift
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information into a stable HD code anchored to visual landmarks. Neurons in different PrS layers have distinct targets, and we will be particularly interested in the intrinsic bursting neurons of layer 4, which
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. Defrasne, have highlighted: (i) the value of interdisciplinary and multiscale analysis of rock surfaces, enabling the mapping of various natural and anthropogenic processes; (ii) the contribution
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Analysis for Sustainable Agriculture All details are avaiable here : https://www.eu4greenfielddata.eu/content/download/198/2088?version=3&nb… ; EU Recruiting institutions Université Toulouse Capitole