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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Palaiseau, le de France | France | about 3 hours ago
appelé Cloud-Resolving Model (CRM). Il s'agit d'un modèle atmosphérique non hydrostatique simulant un domaine local relativement petit (quelques centaines de kilomètres, comparé au rayon de Jupiter de 70
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Description Mission: Perform the characterization and simulation of CO2 capture and reuse processes. Functions to be developed: Characterize, simulate and model processes for capturing, purifying and reusing
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: Develop data-driven numerical models (opinion models, norm dynamics, multi-agent systems). Network Science: Study social and temporal interaction networks using network physics tools. Simulation: Conduct
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 7 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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edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
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Modeling group at the DIFFER institute in support of EUROfusion projects on AI in fusion exhaust. The work encompasses conduction of plasma edge simulations for reactor design in the EUROfusion DEMO central
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-of-the-art technology. Research the current state of metal hydride storage systems and select a suitable metal hydride for your simulation Create a model of the storage system in Aveva Process Simulation and
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your individual needs FAIR REMUNERATION: Depending on your existing