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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
engineering (within the past 3 years) with a strong background in particle-based (kinetic) and fluid (continuum) methods for the modeling and simulation (M&S) of dense and rarefied ionized gas flows. Candidates
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to simulations on quantum simulators and computers, and applications of machine learning, including neural quantum states. Candidates will benefit from state of the art computing resources at the Argonne
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calculations, such as two-phase coexistence simulations, thermodynamic integration, or the Z-method. ● Research experience with geological materials at high pressure and high temperature. ● Experience
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satisfaction, and the availability of funds. The successful candidate will conduct numerical and theoretical research on quantum computing, AI-accelerated quantum simulation and materials discovery, quantum
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. You will build simulation agents that predict materials properties (such as Li-ion conductivity in solid electrolytes) autonomously and at scale, validate them against thousands of real A-Lab
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Simulation Laboratory (https://griffith.web.unc.edu). This position would support projects on (1) cardiac digital twins for heart failure and/or (2) cardiac fluid dynamics simulation software development in
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Requisition Id 17180 Overview: We are seeking a Computational Physicist to carry out modeling of plasma transport and plasma-material interactions (PMI) in the Materials Plasma Exposure eXperiment
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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articles and presenting at conferences. Secondary: Hardware-in-the-Loop (HITL), JSON Serialization, Headless Simulation, Python, Ground Vehicle Systems, and Defense M&S. Additional Application Materials
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of