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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
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Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. RESPONSIBILITIES Applicants will have
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research grants; Fluency in English. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external
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. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external research grants awards, Experience in PhD
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grants; Fluency in English. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external research
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tutored course evaluated by the students are expected to be not less than 4.80 (full is 5.00). Application materials • Curriculum Vitae (In English or in Chinese) • A letter of application, including
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than 4.80 (full is 5.00). Application materials • Curriculum Vitae (In English or in Chinese) • A letter of application, including at least: Ø The expected time to begin to work in NJU Ø The full
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, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks, generative artificaial intelligence, or mathematical modelling who can
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internationally. Responsibilities and Duties We are looking for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language
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in English. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external research grants awards
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funding. Fluency in English. DESIRABLE QUALIFICATIONS/EXPERIENCE: Experience in conducting research supported by national-level research funds. Experience in academic programme design and development