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Field
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-Performing Computational Fluid Mechanics. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical
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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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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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staff position within a Research Infrastructure? No Offer Description Opportunity code: Postdoctoral (RL2_SP3_WP3.6) Area/Theme: “Thermo-Fluid Dynamic Models and Flow Assurance / Optimization
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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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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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. Achieving high tap density, uniform morphology, and enhanced electrochemical performance depends strongly on the fluid dynamics, mixing efficiency, and reaction kinetics within the reactor. This postdoctoral
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) and Chemical C Computational (CC) teams at UM6P. The work aims to develop robust computational models to capture the Multiphysics behavior— including fluid flow, heat transfer, and reaction dynamics
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known for its work in fluid dynamics, one of its recent activities being quantum computation of fluid dynamics (QCFD). Expectations Candidates will be responsible for the QCFD work. The successful
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of equilibrium dynamics using tensor networks to solve partial differential equations, with applications to many-body quantum systems, as well as computational fluid dynamics and plasma dynamics. The successful