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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
and astronomy to undergraduate and graduate students at UNC-CH. Training in physics is fundamental among the natural sciences because it provides understanding of the forces governing the structure
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials
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not limited to: electronic structure methods (density functional theory and "beyond"), classical atomistic, and machine learning methods. The duties/responsibilities of this post include developing and
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“Construction of Random Network Representations of Quantum Spacetime and Gravitational Learning Models (in Japanese only)"at the iTHEMS Division of Fundamental Mathematical Science. We welcome applications from
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to the processing and electron microscopy structural characterization of low-dimensional nanostructures. Dispersability, processability, and manipulation of these objects are important objectives of the group. In
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at better understanding of ligand binding in solution and molten salts chemistry. Computational methods will primarily involve density functional theory calculations for molecular and periodic systems
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System, Computer and Communication Networks, Computer Theory, Machine Learning, Reinforcement Learning；Structural Engineering, Transportation Engineering, Water Resources Engineering & Science, Industrial
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of [map ] Subject Area: Condensed Matter Physics / Condensed Matter Physics, Electronic Structure, Strongly Correlated Materials Appl Deadline: none (posted 2025/02/17) Position Description: Position
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing