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engineering, dynamics and process regulation, process and facility planning, unit operations, heat transmission, fluid mechanics and applied thermodynamics. The Department enjoys very close relations with
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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Requisition Id 15420 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
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of the following qualifications: a PhD in fluid dynamics, oceanography, physics, applied mathematics or similar field; affinity with coastal simulations; strong skills in Python programming; motivation to cooperate
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Desired Start Date 03/16/2026 Job Summary The Flow Dynamics and Turbulence (FDT) Laboratory, within the Department of Mechanical Engineering at the University of Texas at Dallas, invites applications for a
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research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
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background PhD in bioprocess modelling, chemical/biochemical engineering, computational modelling, or a closely related field (or ready to be defended in the following months). A track record of high-quality
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newly established fluid dynamics laboratory at NYU Abu Dhabi, candidates are expected to have a strong interest in experimental research and collaborate with applied mathematicians closely. PhD holders
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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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investigate methods that eventually will automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to