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advanced CFD (such as LES or DNS) and combustion modelling of reacting flows and combustion systems. • Develop and apply combustion chemistry, turbulence–chemistry interaction, and relevant
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computational modelling of additive manufacturing and develop high-performance GPU-based CFD solvers. Qualifications • With PhD degree • Strong research experience in developing GPU-based
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The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims
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hydrodynamic modelling by integrating hydrodynamic, morphological, and geotechnical model. The successful candidate will work on developing and improving CFD modelling. The research may involve observational and
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(CFD) models, including fluid–structure interaction (FSI) simulations where appropriate, will be developed and validated against experimental measurements. These models will be used to investigate
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for synchronized operation of multiple floating and jack-up platforms. • Develop MATLAB/Simulink models integrating hydrodynamic inputs from CFD and seakeeping analyses. • Conduct simulation studies
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• Conduct computational fluid dynamics (CFD) simulations • Conduct experiments in wind tunnels and water channels • Analyze experimental and simulation data and summarize key findings and
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NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by
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• Conduct computational fluid dynamics (CFD) simulations • Conduct experiments in wind tunnels and water channels • Conduct field measurements • Analyze experimental and simulation data
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manufacturing partners and vendors to develop prototypes and ensure successful fabrication from design to production. - Willing to learn simulation tools, such as ASPEN HYSYS, COMSOL CFD, Matlab. - Perform