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Requisition Id 13025 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a software application engineer with expertise in
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Requisition Id 13027 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a software application engineer with expertise in
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Requisition Id 13030 Overview: The Multiphysics Modeling and Flows (MMF) Group in the Computational Sciences and Engineering Division is seeking a software application engineer with expertise in
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and capable of performing leading-edge computational science research and development with a focus on quantum computing for fluid dynamics applications. Areas of specific interest include use of high
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(ORNL) is seeking a Postdoctoral Research Associate to support the development, qualification, and deployment of Computational Fluid Dynamics (CFD) simulation codes, methods, and best practices
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, modeling and simulation, machine learning, and visualization. Establish and conduct research within the field of computational modeling as it relates to materials processing, additive manufacturing, fluid
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following topics: Vacuum systems Mechanical Design including at least a basic understanding of mechanics, fluids, controls, dynamics, and thermal response of materials Programming, Mechatronics / Data
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Postdoctoral Research Associate - Manufacturing Optimization Through FEA/CFD Simulations for Polymer
optimization framework for polymer composites through computational fluid dynamics (CFD) and finite element analysis (FEA). The work will also involve sensor data analysis from composite manufacturing equipment
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using Computational Fluid Dynamics (CFD), Magnetohydrodynamics (MHD), Electromagnetics, and Plasma Physics for other problems in the national interest. The Scalable Engineering Applications group is
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, and computational fluid dynamics. We are looking for a motivated self-starter with excellent written and oral communication skills, with the ability to work independently within a fast-paced