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Conduct a comprehensive literature review of state-of-the-art numerical approaches for CFD–FEM simulations, with particular emphasis on the impact of gas–liquid two-phase hydrodynamics on FSI Design and set
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immunology. Job Duties Develop and analyze mathematical models (primarily ODEs, but also PDEs and stochastic models) of viral replication and immune processes. Implement simulations and perform computational
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, and pollutant emissions. By combining advanced optical diagnostic techniques with high-precision numerical simulations, to reveal the influence mechanism of "liquid film evaporationflame quenching-wall
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correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical (AMO) physics
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excellence of NTU and attracting interest of more industrial collaborators. Key Responsibilities: Develop a new and robust numerical model with lattice Boltzmann method to simulate flow and heat transfer with
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on model approach to improve vegetation’s impact on energy fluxes and related permafrost dynamics improve the process-based fire model SPITFIRE to better simulate fire effects on tundra vegetation and
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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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and simulation studies for power systems. Perform data processing, numerical analysis, and validation using programming tools (e.g., Python/MATLAB). Contribute to technical reports, research
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Jupiter's polar regions using computer simulations. The core of the project consists of coupling a photochemical model (developed and used in numerous planetary applications) with an electron transport model
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transfer This research combines advanced numerical simulation and artificial intelligence to develop predictive models for high-temperature multiphase flows, with specific relevance to steel casting