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Field
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GPUs). Research Associate: Hold a PhD in high performance computing, computational fluid dynamics or a closely related discipline*, or equivalent research, industrial or commercial experience. Research
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Engineering, or a related field. The ideal candidate will have a demonstrated history of research excellence through publications and presentations, with prior research experience in experimental fluid
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Physics Complex Systems Computer Simulation (more...) Fluid Mechanics Theoretical Physics / Complex systems including applications to biology Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/22
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element methods. Additionally, expertise in computational fluid dynamics, solid mechanics and fluid-solid interaction is essential. Knowledge or experience in multi-scale modelling and machine learning
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Mathjobs. Group Introduction: Alexey Cheskidov's research group will study some fundamental problems arising in mathematical fluid dynamics and turbulence, including regularity properties of solutions
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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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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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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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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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics