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identify the optimal foaming process parameters and study the effects of additives such as starch, silica and calcium carbonate on thermal, mechanical and water-related properties. They will also be
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: • To design and optimize an electrolyzer that simultaneously promotes mass transfer, contaminant degradation, and gas recovery; • Study the influence of operating parameters (current density, reactor geometry
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
these limitations. By leveraging RL during the post-training phase, foundation T2V models can be explicitly optimized to follow complex conditioning signals, enforce temporal consistency, and align with specific
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academic incentives (Balafoutas et al., 2025), scarce evidence, insufficient replication (Finger et al., 2023), practices’ heterogeneity (Arpinon, 2025), lack of precise knowledge (Arpinon & Espinosa, 2023
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learning, with the objective of designing new learning paradigms where synthetic data is generated dynamically to enrich and optimize training datasets. The project focuses on human-centered computer vision
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technologies, including artificial intelligence, machine learning, uncertain reasoning, operational research, networks, robotics, automation, and knowledge representation. Heudiasyc’s activities are based on a