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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
8 Apr 2026 Job Information Organisation/Company IMT Atlantique Department Doctoral division Research Field Engineering » Process engineering Engineering » Simulation engineering Technology
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
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services: Effective search models for filtering information related to health Grant/funding period: START: 01/09/2023 END: º31/08/2027 Centre of Principal Researcher: Faculty of Informatics PURPOSE
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that explicitly couple ultrasound-induced membrane mechanics with neuronal electrophysiology. The research fellow will implement and extend conductance-based neuron models in established simulation environments
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MINIONS and involves: (i) the development and integration of microstructural simulation and radiation–matter interaction models, and (ii) the application of these integrated models to retrospective and
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and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages of clinical development, spanning multiple therapeutic modalities. The Fellows will
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) models developed within the team. LES Development & Application: Implement and extend open-source LES codes to simulate diverse ABL scenarios, including varying stability, shear, and turbulence intensities
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) Utilization of satellite data to evaluate simulated carbon stocks and fluxes Successful applicants should have experience analyzing observational and model datasets, and background in the following is highly
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Simulation” (Reference: PID2024-157499OB-C31). This project focuses on the development of advanced computational models and optimization techniques for improving the performance of cochlear implants. It