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Field
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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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an established code (for example VASP, Quantum ESPRESSO). ● Research experience performing molecular dynamics simulations. ● Experience training, fine-tuning, or validating machine-learning interatomic
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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for the Postdoctoral Research Associate, Advanced Nuclear Reactor and Fuel Cycle Engineer role. This role is responsible for working with state-of-the-art modeling and simulation capabilities for lattice physics
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(MPEX), a high-flux superconducting linear plasma facility nearing completion at ORNL. The candidate will utilize state-of-the-art 3D plasma boundary simulation tools as part of the MPEX Whole-Device
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generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning potentials, and
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Job Posting Title: Post Doctoral Scholar The Opportunity: The School of Modeling, Simulation, and Training (SMST) at the University of Central Florida (UCF) invites applications for a Postdoctoral
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development of open-source, machine learning–based software for inferring evolutionary history from genomic data. Design and run population genetic simulations to generate training data and validate theoretical
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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