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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Field
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language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high-quality research, evidenced by publications in world-leading journals, and
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-hubs/society-hub/financial-technology . We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in FinTech or related fields, e.g., Computational Mathematics
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/academics/four-hubs/society-hub/financial-technology . We seek talents in the cutting-edge research in FinTech. Applicants must have PhD degrees in FinTech or related fields, e.g., Computational Mathematics
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epigenetics, and biomedical informatics, particularly data science, computational and mathematical modelling and/or systems physiology are particularly encouraged to apply. Desired candidates should have a keen
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mathematics, the sciences（physics, chemistry, biology, material science, engineering） and computer science, with an emphasis on the theoretical foundation of machine learning, new algorithms and AI for Science
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The Hong Kong University of Science and Technology, Department of Mathematics Position ID: HKUST -PDGEOREP [#25053] Position Title: Position Type: Postdoctoral Position Location: Hong Kong, Hong
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Requisition ID: 1887 School: Academy of Pharmacy Position: Faculty [Open Rank] Location: Suzhou, China Contract Type: Fixed-term, renewable. The third contract becomes open-ended. ABOUT XJTLU Established in 2006 through a partnership between Xi’an Jiaotong University and the University of...
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: PhD or equivalent degree in Computer Sciences, Bioinformatics, Mathematics, or a related discipline and ability to demonstrate appropriate teaching experience/potential in the core areas of AI
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intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, numeral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high
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, Mathematics, or a related discipline and ability to demonstrate appropriate teaching experience/potential in the core areas of AI for Biosciences and strong evidence of the ability to produce high quality