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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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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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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, Competencies, and Experience Experience in cardiovascular modeling and simulation. Preferred Qualifications, Competencies, and Experience Experience with software development and/or high-performance computing
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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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from human cochlear implant users with computational modeling and simulation. Research approaches will include electrophysiological recordings of auditory nerve responses, computational modeling and
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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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against A-Lab experimental campaigns and integrate simulation agents into live campaigns through AlabOS APIS. Compute first-principles active-site descriptors for $\text{CO}_2$ conversion catalysts (vacancy
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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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institutions. Skills we are seeking are: Citizenship: U.S. Citizen/Permanent Resident is greatly preferred. Minimum Qualifications: Ph.D. in Modeling & Simulation, Computer Science, Engineering, or closely