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proficient programming skills. Essential experience includes developing Discrete Element Models (DEM) or hybrid models (e.g., DEM-CFD, DEM-SPH). A proven research record through publications and code
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, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering), Condensed Matter Physics (Fluid mechanics and dynamics) and Applied Physics
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aerodynamic methods and tools of turbomachinery design is therefore required, which in turn includes design and optimization in 1D, 2D, 2D Blade-to-Blade as well as 3D computational fluid dynamics (CFD) methods
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of Mechanical Engineering). This environment facilitates the exchange of research knowledge with colleagues also working in CFD and ML, both in applied and fundamental areas. The candidate will develop
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. This role, based at Cranfield University, will involve developing suitable CFD models to study the behaviour of plasma and waste flow, and suggest designs based on parametric sensitivity analysis
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contactors. CFD simulation of the modules. 6. Legislation and regulations: Research Fellow Statute, as amended by Decree-Law No. 123/2019, of August 28th; Scientific Research Grant Regulation of the University
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in the following activities: a) Wind tunnel testing campaign. b) 2D URANS modelling. c) 3D LES modelling d) Postprocessing of experimental and numerical results. Where to apply Website https
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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://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research
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); - Computational Fluid Dynamics (CFD, PC-exercises); - Domain-specific Research Skills (in the field of fluid mechanics and fluid machines, and their numerical simulation) You will contribute to this teaching and
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Research Infrastructure? No Offer Description Mission: Carry out activities related to a computational fluid dynamics (CFD) simulation: preprocessing (mesh preparation, definition of boundary conditions, etc