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understanding of both lipid metabolism (see below) as well as iron metabolism and how to conduct studies using animal models and humans. The postdoc will also be one of the few investigators at the forefront
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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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candidate will play an active role in analyzing LZ data, with opportunities to improve simulation models used in rare-event searches, develop machine learning methods for background rejection, and place
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biometric modeling of behavioral genetic data and longitudinal research spanning decades of assessments of personality, psychopathology, and social and environmental risk factors. Finally, the Scholar will
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simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the