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candidate will conduct theoretical modeling and numerical simulations in the areas of quantum and frustrated magnetism, with a particular emphasis on quantum spin liquids. The position also involves close
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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