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for modeling multiphase flows governed by complex, nonlinear dynamics across multiple scales. The postdoctoral researcher will investigate how to develop complement/augment classical CFD methods with quantum
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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the engineering development and validation programme, bringing hands-on capability in 3D CAD and CFD modelling to support design iteration and to undertake aerodynamic and heat-transfer assessments
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PhD project is centred around advanced CFD modelling of liquid green fuel (methanol and ammonia) combustion under engine-like conditions, i.e., in a constant-volume combustion chamber (CVCC
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cooling approaches. As the successful candidate you will also contribute directly to the engineering development and validation programme, bringing hands-on capability in 3D CAD and CFD modelling to support
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of advanced CFD models in OpenFOAM for the simulation of next
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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particle lifetime. You will combine experiments and simulations (CFD-DEM, population balance modeling) to study breakage behavior, supported by mechanical testing and in-situ micro-computed tomography (µCT
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verification of operational parameters of thermoelectric devices (generators, coolers, etc.), 6) knowledge of CAD (AutoCAD, SolidWorks, etc.) and CFD (COMSOL Multiphysics, ANSYS Fluent or ANSYS CFX, ANSYS
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processes, multimodal data fusion, physics–ML hybrid modelling (from CFD to atomistic simulations), and AI-assisted hypothesis formulation. MSCA Doctoral Candidate eligibility criteria Applicants must comply