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, the friction drag is extremely influential to the operational effectiveness of the device or process. This applies especially to transport, involving either self‐propelling bodies moving in a fluid or fluids
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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acquisition. Proficient writing of scientific documents (publications, reports, patents). Good communication skills combined with a synthetic mindset that allows for regular, fluid, and informative presentation
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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in fluid flows related to the propagation of nonlinear waves and their properties.
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well as an understanding of requirements for human subjects research (confidentiality, etc). - Some experience in computational fluid dynamics (CFD) would be useful, but is not essential. Professional Skills and
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experience within the field of microchip based acoustofluidics documented experience of COMSOL-modelling within fluid mechanics, acoustofluidics and microfluidics documented experience of acoustofluidic based
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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initiation in the following areas are helpful: Strong background on computational fluid dynamics (CFD) and design software using ANSYS and SolidWorks. Experience on high performance computing is desirable