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in fluid flows related to the propagation of nonlinear waves and their properties.
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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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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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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, qualifications and experience required to perform the role will include a good working knowledge of fluidization, fluid mechanics and compressible flow and an interest in practical design and experimentation. It
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, qualifications and experience required to perform the role will include a good working knowledge of fluidization, fluid mechanics and compressible flow and an interest in practical design and experimentation. It
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scientific disciplines. Our research covers separation processes, reaction engineering, dynamics and process regulations, process and facility planning, unit operations, heat transmission, fluid mechanics and
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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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understanding of fluid dynamics and transport phenomena, along with motivation for research and scientific writing, is essential.Qualifications1) Must hold Bachelor’s degree for Master positions (CGPA > 3.3)2