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Field
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) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Fluid Dynamics. Mathematical topics of interest include structure
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Requisition Id 15421 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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fluid dynamics. You will be able to work independently, and you must have the ability to manage your own academic research and associated activities. You will have excellent communication skills including
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129188, United Arab Emirates [map ] Subject Areas: analysis, PDE, analysis, kinetic theory, fluid dynamics, plasmas Appl Deadline: 2025/12/15 11:59PM Position Description: Apply Position Description
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this, the Fellow will implement a universal design methodology for such fluids of complex rheology, using a Machine Learning (ML) algorithm to be incorporated in a Computational Fluid Dynamics framework. Training
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
dynamics in protected agriculture systems, encompassing moisture generation, transpiration, and dynamics in air and substrate. The postdoctoral researcher will develop and validate computational models
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will work with Ananyo Maitra on understanding
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active in the field of hot and dense QCD matter in and out of equilibrium. Areas of interest include both soft and penetrating probes of heavy-ion collisions, relativistic viscous fluid dynamics, finite
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study