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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 15 days ago
and fine-grained semantic information within the prompts, and assess geometric accuracy of corresponding models' answers. If necessary, we will then propose dedicated learning strategies for inducing
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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-metallic materials by an electron beam Main ideas of the proposed dissertation topic: The aim is to create a geometric, mathematical, and simulation model for the ANSYS program. The geometric model will be
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the standard cosmological model. Confirming and accurately characterizing this discrepancy could point towards new physics beyond the standard cosmological framework. This thesis aims to develop and assess a new
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have an edge between two nodes if the corresponding objects intersect. Such graphs have been used, for instance, to model sensor networks. Geometric intersections graphs are a generalization of planar
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Internal Number: 7071892 Postdoctoral Fellow, Structural Biology Position Information Position Title: Postdoctoral Fellow, Structural Biology Department: Structural Biology Department Posting Link: https
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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condensed matter physics • Ability to learn and develop skills in analytical computation, theoretical modelling and numerical simulations, in particular the numerical solution of partial differential
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Rhodes (I2M, Aix-Marseille University), the research program "Geometric and Probabilistic Aspects of Conformal Field Theory." The post-doctoral researcher will support and coordinate the scientific
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data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks