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the field of fluid mechanics, multiphase flows, thermodynamics and heat exchange, laser measurement techniques, machinery dynamics, tribology and diagnostics of energy production machinery. The thematic
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control of industrial emissions and reduce health and environmental risks. Bringing together fluid mechanics, high-performance computing, and data science, this project fosters a dynamic, collaborative
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multidisciplinary team of researchers spanning geology, geophysical fluid dynamics, applied mathematics and geophysical/geodetic volcano monitoring to deliver a step-change in understanding the origin of surface
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. Spectral dynamics of the conditional Lyapunov vector (https://www-cambridge-org.sheffield.idm.oclc.org/core/journals/journal-of-fluid-mechanics/article/spectral-dynamics-and-spatial-structures
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applications in fluid dynamics At least 3 publications in specialty journals indexed in relevant databases, corresponding to the project’s topic Specific Requirements The successful candidate will report to
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Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD
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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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, in a PhD degree-awarding study programme offered by a Higher Education Institution. . Minimum profile: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
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analysis and visualization as well as experience with computational fluid dynamics (CFD) and/or experimental wind-tunnel measurements is desirable We are looking for first-class graduates with expertise in