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Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows Job No.: 690226 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration
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Job Description Job Alerts Link Apply now Research Fellow (Computational Fluid Dynamics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Mechanical
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1. A Ph.D. degree in Aerospace Engineering, Fluid Mechanics, Applied Mathematics, or a related discipline. 2. Demonstrated expertise in turbulence modelling and compressible
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evaluated to determine whether they provide additional haemodynamic information beyond conventional Doppler methods. To provide mechanistic insight into the experimental findings, computational fluid dynamics
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are required. Experience in python, Fortran, C++ and parallel computing are a plus. 3. Good publication record in peer-reviewed journals for fluid mechanics. 4. A Ph.D. degree in relevant
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We are looking for a researcher, whose expertise lies in computational fluid mechanics and finite element methods, to work with Matthew Hubbard and Reuben O’Dea on a Wellcome Trust funded project
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ambitious researcher to publish high-impact science, develop highly sought-after expertise in complex subsurface fluid transport, and collaborate directly with leading industry researchers. We provide a
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$132,533 (Pro rata) + 17% superannuation About the opportunity The University of Sydney is seeking a Research Fellow to join a leading research program based at the Children's Hospital, working under
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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degree in mechanical/aerospace/civil engineering with strong expertise in experimental and computational fluid dynamics. The candidate must have experiences in coding, designing and developing flow