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Field
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite elements methods Modern machine learning software tools and frameworks Implementation
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will be carried out using OpenFOAM, an open-source CFD software with turbulence, bi-fluid, and non-Newtonian modeling capabilities. Alternative equivalent software known to the candidate may also be used
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Science, or a related field completed within the last 5 years Preferred Qualifications: Experience in one more of the following areas: Mathematical methods for computational fluid dynamics (CFD) Finite
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models in a well-established industrial CFD solver. You will be responsible for liaising with our sponsor and for disseminating the results of your work. About you You should be in possession or be near
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models in a well-established industrial CFD solver. You will be responsible for liaising with our sponsor and for disseminating the results of your work. About you You should be in possession or be near
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interpersonal skills and ability to work collaboratively with others Project management experience Experience with CFD and CAD software Understanding of sCO2, H2 and NH3 process and energy generation systems (i.e
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the CFD component of the DETECT project and support other aspects of the project (management, reporting and fieldwork). The overall project aims to assess coastal vulnerability and model it using a
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communication skills through publications in archival and conference presentations. Desired Experience: Professional expertise with a focus on applying advanced CFD and post-process tools to the fields
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the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics (CFD) modeling, preferable in openFOAM