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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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comparative approach in three South American countries: Brazil, Chile and Colombia. The design of the project is based on a methodology combining three types of research: classic academic, experimental and with
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data processing descriptions or mathematical formulas. In contrast, combining LLMs with computer vision provides a more flexible framework for understanding and reproducing the computational pipelines
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, hot spots may develop due to the poor heat removal capability of the vapor. Objectives and Methodological Approach The PhD project is based on a combined approach, integrating experimental
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. Lathuillière. The project is highly interdisciplinary, combining nuclear physics, radiation chemistry of materials, corrosion science, and theoretical modeling. This work fits within the internationally
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enhance the capabilities of NSS by implementing it on hybrid analog–digital neuromorphic hardware. More specifically, we aim to deploy NSS on the neuromorphic platform developed at 3IT, which combines
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its theoretical ambition. This multi-sited approach requires combining the sociology of professional trajectories and bifurcations (Bourdieu, 1984; Dubar 1991; 2000), the sociology of disputes and