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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 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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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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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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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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) 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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, 2024). It will finish with the creation of a new state-of-the-art: the first 3D MHD-beam solar flare simulations. The models created will also calculate the outward flux and spectra of non-thermal
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Computationally efficient modelling & simulation and applications School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Lingzhong Guo Application Deadline: Applications
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how nanoparticles prefer to attach to each other. The machine-learning models will be validated against detailed atomistic simulations and compared with experimental results on self-assembly. Ultimately
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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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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