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information science, broadly defined. Experience in topological materials/ topological quantum computation/ quantum geometry/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition
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motivated and dynamic candidates with a strong background in early-Universe cosmology and the Standard Model of particle physics. Previous experience with numerical simulations of the early Universe and/or
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motivated team player who thrives in a collaborative and interdisciplinary research environment. The ideal candidate possesses a PhD degree in chemistry or chemical engineering, materials science, physics
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and