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industry partners? Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics? We have a
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? Are you looking for a new and exciting challenge to develop innovative digital tools combining CFD and machine learning to reduce manufacturing-induced deficiencies of ceramics? We have a vacancy for an
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CFD Study of Wind Turbine Aerodynamics Department of Mechanical Engineering PhD Research Project Self Funded Prof M Pourkashanian, Prof L Ma, Prof Derek Ingham Application Deadline: Applications
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in aerothermal experiments and/or turbine design is essential. Experience in data analysis, design using FEA and CAD packages, as well as CFD is also desirable. Good time management, organisation and
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We are seeking a motivated researcher to join the University of Bristol, as part of the Aerospace Technology Institute / IUK funded DAWS2 project. The CFD team at the university will focus the CODA
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include a combination of advanced unsteady computational fluid dynamics (CFD) and also the assessment of the design via real-time piloted simulations. The post is full time and is fixed term until 31
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The role We are seeking a motivated researcher to join the University of Bristol, as part of the Aerospace Technology Institute / IUK funded DAWS2 project. The CFD team at the university will focus
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include a combination of advanced unsteady computational fluid dynamics (CFD) and also the assessment of the design via real-time piloted simulations. The post is full time and is fixed term until 31
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interactions between the TAVI device and patient anatomy is critical for reducing the risk of adverse clinical outcomes. This project will use computational fluid dynamics (CFD), finite element analysis (FEA
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interactions between the TAVI device and patient anatomy is critical for reducing the risk of adverse clinical outcomes. This project will use computational fluid dynamics (CFD), finite element analysis (FEA