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, quantum information) or closely related field, such as Electrical Engineering. Preferred qualifications Applicants whose PhD work included substantial experimental work with a focus on superconductor
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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) at the University of Houston, with 10 members working across quantum materials, battery materials, advanced characterization, and data science. Group members work closely together, with lots of opportunities
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information science research. *Experience with theoretical frameworks for quantum entanglement and decoherence. *Desired, though not mandatory, expertise in quantum platform software such as Qiskit or cuda-q
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the Principal Investigator (Dr. Shengli Zou). Conduct advanced computational chemistry research with a focus on nanophotonics, quantum mechanics, and machine learning–assisted modeling and simulations. Prepare
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at Carnegie Mellon University invites applications for a postdoctoral researcher to lead projects at the interface of computational chemistry, machine learning, reaction mechanism elucidation, and automated
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for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science Qualifications A PhD in Materials Science, Optics, Physics, Chemistry, Electrical
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Position Description We seek a postdoctoral associate to work at the interface of spectral theory, quantum materials, and quantum information at the Center for Computation & Technology (CCT
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Fellow Campus Columbia Work County Richland College/Division College of Engineering and Computing Department CEC Electrical Engineering Anticipated Hiring Range $52,526 - to commensurate with
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying