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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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. The graduate program at CMLR is an interdisciplinary, international program aimed at producing the best talents at the frontier of all disciplines where machine learning can play a role. The close
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in learning and teaching. This is mainly achieved through the delivery of institutional academic development programmes; primarily, the PGCert programme, and other Continuing Professional Development
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between LLM and MIA, opening up new avenues for research and practical applications in the healthcare domain. About Postdoctoral Programme The postdoctoral programs at XJTLU are jointly run by the XJTLU
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Computing, Edge Computing, Social Network Programming and Analysis, Intelligent Transportation. RESPONSIBILITIES Applicants will have extensive teaching experience, have published high quality papers in
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, province and city level programs. These programs aim to support excellent scientists, both Chinese and non-Chinese-citizen, to work and carry out research in China. Some of the programs are listed in
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programs and host many visiting professors, both for short-term and for long-term. Alongside its research activities, the Institute will also offer active undergraduate and graduate programs for talented
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programs and host many visiting professors, both for short-term and for long-term. Alongside its research activities, the Institute will also offer active undergraduate and graduate programs for talented
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, education allowance, relocation support etc. Adequate research funds, and university’s supports to apply for national, provincial and municipal talent programs. Requirements: Ph.D. in Mathematics
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Xi'an Jiaotong - Liverpool University – XJTLU Technology Transfer Centre Position Overview Contract Type: Fixed-term, two-year contract About Postdoctoral Programme The postdoctoral program at XJTLU
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are filled. Application materials Interested candidates should submit the following: Cover letter. Detailed curriculum vitae, including a list of publications. Statement of academic achievements. Research plan