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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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of Social Theory and Institutions. The Department delivers undergraduate and postgraduate programmes in Sociology, Criminology and Social Work and supports the delivery of a faculty research methods
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days 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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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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“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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. INSAIT has also excelled in other areas of computer science such as machine learning, computer vision, and robotics, with publications in leading venues like CVPR, NeurIPS, ICML, and ICLR. Structured
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states. You will also work within a multidisciplinary multi-institutional team involving specialists in theory, nonlinear electronic spectroscopy, organic synthesis, and materials characterization. Major
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, including those appearing in string theory. 2. To uncover the universal algebraic structures of integrable models. 3. To construct new integrable instances of gauge/gravity duality. 4. To investigate
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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