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of various electrodes and microfluidic structures. These systems utilize fluidic, acoustic, or dielectrophoresis forces for precise fluid handling. The successful candidate will work with Professor Huabing Yin
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differential equations. • Basic knowledge in mathematical modeling with/and partial differential equations, with a focus on fluid or biomechanics, porous media. • Optional/advantageous: Experience with Lattice
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techniques, applying computational neuroimaging, machine learning and fluid dynamics methodologies to interpret these complex datasets. They will work closely with a dynamic team comprised of neurosurgeons
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of research technicians to study complement regulator factor H. Your day-to-day activities will include performing experiments within the lab, working closely together with the technicians while
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(assessment of membrane processes and water quality analysis) are required. Experience in computational fluid dynamics modelling of water treatment and desalination processes is an advantage. Willingness
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
@orau.org Qualifications The successful applicant should have a PhD in science or engineering discipline with experience in running reacting fluid dynamics simulations. Experience with high fidelity, state
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multi-physics simulation code for propulsion applications. The candidate will perform multi-scale computational fluid dynamics (CFD) simulations involving two-phase flows and combustion/reaction dynamics
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Engineering, or a closely related field. Strong background in wind engineering, fluid mechanics, and/or building aerodynamics. Experience with experimental techniques in wind engineering, such as PIV, pressure
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structural analyses, multiscale stress and strain characterisation, analysis of hydrocarbon reservoirs, mainly traps characterisation (including the timing of trap formation) and fluid migration. The candidate
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equivalent) in Innovation Management, Circular Economy, Business Engineering, Environmental Engineering, Production Engineering, Design & Innovation, or related field Experience with business modelling tools