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in many aspects of the LZ experiment, from detector calibration, simulations to data analysis. The successful candidate will play an active role in analyzing LZ data, with opportunities to improve
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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(e.g., proof assistants, simulation frameworks, structured data environments). Familiarity with Lean or other formal mathematics platforms. Experience with temporal network analysis or hypergraph
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