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Abilities: Strong background in gene network modeling, ecophysiological modeling, or bioenergy related research Proficiency in working with large language models, knowledge graphs, and computational tools
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parity-check codes and iterative decoders, investigating applications of quantum error correction in quantum computers and networks. We are interested in candidates with strong expertise in burst error
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nuclear systems and neutrino dynamics. Qutrit-based and hybrid quantum-classical approaches for many-body simulations. Tensor network and entanglement-based methods in many-body physics. Knowledge, Skills
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