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Field
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characterize complex fluids and their interaction with other matters. However, measurements require interpretation that is aided by computational fluid dynamics (CFD) and computational fluid particle dynamics
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Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD). . Candidate who is in the final stages of PhD studies (i.e. submitted
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of Computational Fluid Dynamics CFD environment and simulations including: - Computation of the microwave field, Coupling of the microwave field with the plasma - Computation of elementary ionization, recombination
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Project Overview Iterative RANS-based CFD design is approaching its practical limits. While high-fidelity simulation remains essential, the repeated geometry-CFD-evaluation loop that dominates
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to: Setup, validation, and evaluation of Computational Fluid Dynamic (CFD) models for the elucidation of bioreactor heterogeneities and performances Development and application of modelling/simulation
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/acoustic sensors) Analysis of hydrodynamic processes, turbulence structures, and sediment transport mechanisms governing scour evolution Simulation of high-fidelity CFD simulations for modeling wave
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skills, both verbal and written, are required. Key duties: Successful candidate is expected to: Setup, validation, and evaluation of Computational Fluid Dynamic (CFD) models for the elucidation
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat
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, digital twins) Familiarity with process control, optimization, and uncertainty quantification Experience integrating simulation (e.g., CFD, DFT, kMC) with machine learning models Background in energy
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against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow