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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 24 days ago
on modeling, simulation and advanced analysis of energy conversion systems. The activities include studying the effects of low-quality power supplies and ripple current on electrolysis systems, developing
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 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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models for efficient coupling; and (3) analysing simulation and surrogate outputs to validate and refine the framework. Where to apply Website https://aunicalogin.polimi.it/aunicalogin/getservizio.xml
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projects. The position is responsible for conducting sponsored research in transportation safety, developing material and computer simulation models, developing vehicle and roadside hardware models, and
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of the EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute. ‘Agent-based’ modelling (ABM) simulates large numbers of autonomous yet interacting entities and in Sheffield
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activity concerns the development, implementation, and analysis of continuous stochastic mesoscale models for the description of phase change processes, such as evaporation, condensation, and nucleation. In
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will focus on diffuse interface models based on the Navier–Stokes–Korteweg equations. Activities include the study of droplet and bubble dynamics in multiphase flows. Numerical simulations will be
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models developed as surrogates for the computationally expensive KMC simulations. The existing workflow will be extended to include the additional photo(electro)chemical variables. Where to apply Website
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to carry out high-performance numerical simulations using our in-house CFD code, extract physical insights from simplified flow models, and characterise synchronisation thresholds and the robustness
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programming such as Python, R, MATLAB, or other similar programs and experience in using simulation/optimisation models and advanced data handling techniques e.g. machine-learning techniques, statistics