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Field
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Vacancies PhD position on indirect combustion noise; Fluid Mechanics; CFD; Aeroacoustics Key takeaways Simulation-based development of indirect combustion-noise theory To remedy ineluctable
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Dynamics (CFD). This is an exciting opportunity to contribute to cutting-edge research that supports the next generation of sustainable aeroengines. The successful candidate will join a supportive team of
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We seek a research associate to work on the development of a computational fluid dynamics (CFD) workflow in an industrially focused project in collaboration with Great Britain Cycling Team (GBCT
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for predicting ship resistance, propulsion performance and energy efficiency using CFD and benchmark data. Design and implement multidisciplinary optimisation methods, integrating them into NeuralShipper as robust
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Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
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for predicting ship resistance, propulsion performance and energy efficiency using CFD and benchmark data. Design and implement multidisciplinary optimisation methods, integrating them into NeuralShipper as robust
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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You have a recently completed PhD in a relevant field related to post-harvest technology, with in-depth knowledge in at least two of the following areas: Post-harvest physiology and product quality
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Despite significant advances in numerical techniques and computing hardware, the high computational cost of large-scale 3D computational fluid dynamics (CFD) modelling remains a major challenge. A
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, qualification, and deployment of AI agents and models, Computational Fluid Dynamics (CFD) simulation codes, and Finite Element Method (FEM) based tools for nuclear energy (fission and fusion) applications