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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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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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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
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. Teach two undergraduate Korean Studies courses each semester. Appointment This is a full-time, Academic Year (AY) postdoctoral appointment beginning August 17, 2026. The initial appointment is for one
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Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in
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iron status and cognitive functioning, mood, and quality of life. As part of these studies, the postdoc will gain a deeper knowledge of iron metabolism and learn the many factors that play a role in iron
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and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to accelerate innovation in intelligent software technologies