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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Chongqing University
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following key areas: epidemiology, biostatistics, global health, infectious disease control and prevention, AI and big data, biomedicine, precision medicine, cancer genomics, etc. ABOUT THE UNIVERSITY In 2006
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of the following key areas: epidemiology, biostatistics, global health, infectious disease control and prevention, AI and big data, biomedicine, precision medicine, cancer genomics, etc. ABOUT THE
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. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence
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including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and
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the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn . About the School and Department Established in 2019, School
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Academic Purposes (EAP) and General English (GE). Our students are 18-year-old foundation-year learners preparing for degree study in Digital Media, Sports Studies, or Data Science. All full-time staff
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Numerical Simulations of Complex Dynamic Systems, E.g. Turbulence, Hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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, and Applications of AI and Big Data in Accounting; Auditing, Financial Accounting, Financial Reporting, Accounting Information Systems, Cost and Management Accounting, Corporate Governance and
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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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Management Hotel Management Leisure and Spa Management MICE Management Smart Tourism Tourism Big Data Analytics Job Description Candidates are expected to contribute significantly to the faculty program