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Field
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Physics, Materials Science, Chemistry, Chemical Engineering, Applied Physics, or a closely related field with a focus on computational materials modeling. Density Functional Theory (DFT) for surfaces and
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related field are particularly encouraged to apply.We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular
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the dynamics and statistics of topological defects in active systems, using continuum theories of active ordered states. This project will require both numerical and analytical work. The position will be based
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molecule activation. Density functional theory applications to transition-metal containing molecular complexes. Hybrid quantum mechanics/molecular mechanics (QM/MM) methods Candidates must have received a
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other gauge theories, connections to string theory, and QCD at high density. Our group currently includes faculty members William Detmold, Krishna Rajagopal, Phiala Shanahan and Iain Stewart as
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at the density-functional and dynamical mean-field-theory levels, metal-insulator and structural phase transitions, quantum critical points, nonlinear and anomalous responses, optical traps, quantum computation
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such as Bethe ansatz, form factors, conformal field theory, classical inverse scattering theory, tau functions Solid track record of publications Robust presentation skills Competence in spoken and written
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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a closely related field within the past 3 years and be under 35 years old. A strong background in condensed matter theory is required. The applicant should be proficient in at least one of the
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Scikit-learn, PyTorch, Openbabel, and RDKit packages. Experience with density functional theory (DFT) calculations. Experience with version control GitHub repositories, and Unix/Linux supercomputing