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prior knowledge and experience in fluid mechanics, for both steady and unsteady flow behaviours Relevant experience in both commercial (ANSYS Fluent preferably) and opensource CFD code (OpenFoam
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experience in fluid mechanics, for both steady and unsteady flow behaviours Relevant experience in both commercial (ANSYS Fluent preferably) and opensource CFD code (OpenFoam preferably) Strong skills in
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prior knowledge and experience in fluid mechanics, for both steady and unsteady flow behaviours Relevant experience in both commercial (ANSYS Fluent preferably) and opensource CFD code (OpenFoam
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welcome applications from passionate and skilled post-PhD or experienced researchers in Computational Fluid Dynamics, to join our team working on renewables and low carbon technologies. About the Role You
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post-PhD or experienced researchers in Computational Fluid Dynamics, to join our team working on renewables and low carbon technologies. About the Role You will be working with international partners
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. The post is funded by the Leverhulme Trust and is part of an international multidisciplinary research project entitled “Solute motion in complex fluids: mathematics and solvation dynamics”. The programme
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optimization Experience with Computational Fluid Dynamics is beneficial Experience with laboratory automation and flow platforms Capable of conducting independent research while effectively collaborating in a
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(local and overseas). Qualifications • Candidate must have a relevant Ph.D. degree in Mechanical Engineering, Fluid Dynamics, Atmospheric Sciences, Urban Climate, Architecture Engineering, Building Science
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implementation of a coupled Computational Fluid Dynamics (CFD) and fire dynamics model within the OpenFOAM framework. This model will simulate battery thermal runaway and subsequent fire propagation. The
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conferences; Organize, and assist technical workshops, networking events and conferences (local and overseas). Job Requirements Candidate must have a PhD degree in Mechanical Engineering, Fluid Dynamics