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, https://doi.org/10.1016/j.ijhydene.2025.151376 . Mayank Kamboj, Donatella Cirrone, Dmitriy Makarov, Vladimir Molkov, Modelling Radiative Heat Transfer to Closed LH2 Storage and Its Effect on Storage
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breakthroughs into commercial healthcare solutions. In the ICUSafeNotes project, we are conducting research and development of multimodal machine learning models that includes ICU note summarisation and analysis
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models that support operational analytics, strategic reporting, automation, and emerging AI-driven insights. This role is critical to enabling data-informed decisions across academic, administrative, and
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)(https://english.itp.cas.cn ) invites applications for a Postdoctoral Research Fellowship in 2026. Current research areas in the group include physics beyond the Standard Model, dark matter, neutrino
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9 Feb 2026 Job Information Organisation/Company Université Gustave Eiffel Research Field Computer science » Modelling tools Engineering » Electrical engineering Researcher Profile First Stage
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, L., Wijermans, N., 2024. From situated knowledges to situated modelling: a relational framework for simulation modelling. Ecosystems and People 20, 2361706. https://doi.org/10.1080
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 26 days ago
interaction to liquid metal pool and microstructure generation. To this end, the main focus of the PhD project is the AI assisted multiphysics modeling/simulation of the LPBF process. The project aims
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher in Applied Environmental Economic Modeling, UCSB, Santa Barbara, CA (JPF03021) Postdoctoral Researcher in Applied
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models