17 scientific-computing "https:" positions at UNIVERSITY OF NOTTINGHAM NINGBO CHINA in China
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-style education has grown to establish a student body of over 10,000 in just 22 years. This is an exciting opportunity to join the School of Computer Science, in the Faculty of Science & Engineering
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of Computer Science, in the Faculty of Science & Engineering, based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer
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. About the School/Department This is an exciting opportunity to join the School of Computer Science (www.nottingham.edu.cn/go/cs ) within the Faculty of Science & Engineering based at the University
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of Science & Engineering based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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for collaboration, and establish partnerships that strengthen research outcomes. About You Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science
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of Personality and Social Psychology , Psychological Science , Personality and Social Psychology Bulletin , and Nature Climate Change . For details, please refer to the link: https://research.nottingham.edu.cn/en
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Deadline 30 Apr 2026 - 00:00 (UTC) Country China Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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team of science and engineering experts. UNNC is part of the University of Nottingham’s Global University, and offers unique teaching and research opportunities in a highly dynamic economy. Applications
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vibrant, externally funded research program, teach and mentor undergraduate and graduate students, and contribute to the intellectual leadership of the department and the university's broader data science