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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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) for automated medical image analysis (MIA) tasks, such as inspection and segmentation. By leveraging the power of large language models and integrating them with visual information, this project seeks to create a
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Work type: Full-time School: School of Mathematics and Statistics Subject Area: Analysis, Algebra, Geometry, Equations, Operations Research, Biomathematics/Mathematical Biology, Image Processing
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Analysis, Pharmaceutics, Bioinformatics, Total Synthesis of Natural Products, Microbiology and Biotechnology, Computer-Aided Drug Design, Chemical Biology Introduce: The School of Pharmaceutical Sciences
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, international political 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
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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