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Field
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multidisciplinary team comprised of fellow postdoctoral appointees, experimentalists, and staff scientists, with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with
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EPSRC-funded project, MAPFSI that will be focused on developing experimentally-validated computational algorithms for fluid-structure interaction problems including multiphysics effect of electromagnetism
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testing approaches for predicting induced seismicity and using observations of seismicity to infer in-situ stress conditions; and 2) developing approaches to predict and adapt to changes in fluid
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work culture. The role requires excellent communication skills both at a local level with colleagues and externally with clients and academic partners. knowledge of fluid dynamics, wave structure
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: 272540360 Position: Postdoctoral Research Associate Description: Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks postdoctoral scientists or research
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ICFO is offering a post-doctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: We are searching for a multi-phase combustion computational fluid dynamics (CFD) Post-doctoral Scholar to join our Technology Concepts and Modeling Department
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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differential equations, computational fluid dynamics, material science, dynamical systems, numerical analysis, stochastic analysis, graph theory and applications, mathematical biology, financial mathematics