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and welfare benefits. The team will fully support the postdoctoral fellows with an excellent environment for research. Outstanding postdoctoral fellows will qualify for performance-based bonuses under
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interdisciplinary 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
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Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM
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>700 collaborators from 72 institutions in 17 countries. Successful candidates will work in the neutrino group of the experimental physics division (EPD) at IHEP on one of the following topics
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key project work in relevant professional fields and writing relevant reports or papers; 4. Participating in or leading related activities of the Institute, including academic forums, round table
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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