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teams to integrate AI and machine learning techniques into lattice field theory frameworks. - Engage in large-scale numerical simulations, performance analysis, and optimization using state-of-the-art
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economics, economics, big data or a related discipline, or applicants with a Science and Engineering background who have an interest in the fields mentioned above. 3. Applicants have strong policy analysis
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related discipline, or applicants with a Science and Engineering background who have an interest in the fields mentioned above. 3. Applicants have strong policy analysis ability and solid scientific
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research scientist to work on the XENONnT Dark Matter experiment. About the Group: Led by Dr. Jingqiang Ye, our group is actively involved in both the hardware development and data analysis of the XENONnT