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of Manchester. You will join a vibrant team of researchers at the forefront of research on flow instabilities and fluid-structure interactions at low Reynolds number. We are seeking to appoint an individual with
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skills. 5) Background in Fluid-structure interaction, and Reinforcement learning is favoredCompensation and Benefits The research team offers a competitive compensation package commensurate with
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skills. 5) Background in Fluid-structure interaction, and Reinforcement learning is favoredCompensation and Benefits The research team offers a competitive compensation package commensurate with
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and physiologic data; integrate multimodal metrics to uncover fluid‑flow interactions. ● Clinical collaboration, working closely with neurologists and neurosurgeons on studies of healthy aging and
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and physiologic data; integrate multimodal metrics to uncover fluid‑flow interactions. ● Clinical collaboration, working closely with neurologists and neurosurgeons on studies of healthy aging and
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metrics to uncover fluid-flow interactions. * Clinical collaboration, working closely with neurologists and neurosurgeons on studies of healthy aging and hydrocephalus (pre-and post-shunt) as well as other
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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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of Manchester. You will join a vibrant team of researchers at the forefront of research on flow instabilities and fluid-structure interactions at low Reynolds number. We are seeking to appoint an individual with
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of machine learning algorithms and experience in machine learning applications related to thermal fluid problems and/or nuclear reactor analysis. Job Family Postdoctoral Job Profile Postdoctoral Appointee