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activity will focus on the development and application of numerical methods for thermal-hydraulic analysis at both the system and component levels. The work will involve analyzing operating, transient, and
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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resilient infrastructure and natural hazards. With the new Manchester Hydrodynamics Laboratory and high-fidelity numerical modelling including smoothed particle hydrodynamics (SPH) and turbulence modelling
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for the clean, efficient, and fuel-flexible use of ammonia-based fuels in gas turbines. The research approach combines high-fidelity numerical simulations and turbulent combustion modeling. A closely related
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of thermal effects on force generation, material properties, and geometric clearances. Validate numerical models against experimental results and data available in the scientific literature. Disseminate
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on the development, theoretical analysis, and optimal implementation of numerical methods for systems governed by multiphysics and multiscale differential models, including the use of parallel computing architectures
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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, investigating cooperation, production networks, supply chains, and industrial coalitions through multilevel evolutionary game theory. Expected outputs include theoretical models, numerical simulation tools, peer
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corona and combines high-resolution solar observations with numerical modelling. The successful candidate will contribute to the observational aspect of the project using multi-vantage-point observations
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an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model