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(MFA/PhD) at the time of appointment. We seek candidates with expertise in immersive media, machine learning/generative AI, and/or game development. The successful candidate will have a record of
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University (DKU) invites applications for a tenured or tenure-track faculty position in digital media to begin in the academic year 2025-2026. Candidates must possess a terminal degree (MFA/PhD) at the time
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. At the time of appointment, candidates are required to have a PhD degree in Statistics/Mathematics or a closely related field. The candidates are also expected to have demonstrated an excellent research track
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for these positions include mathematical research, undergraduate and graduate teaching (1+1), and departmental and university service. At the time of appointment, candidates are required to have a PhD degree in
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and university service. At the time of appointment, candidates are required to have a PhD degree in Statistics/Mathematics or a closely related field. The candidates are also expected to have
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. At the time of appointment, candidates are required to have a PhD degree in Statistics/Mathematics or a closely related field. The candidates are also expected to have demonstrated an excellent research track
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graduate teaching (1+1), and departmental and university service. At the time of appointment, candidates are required to have a PhD degree in Statistics/Mathematics or a closely related field. The candidates
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undergraduate and postgraduate students. Provide administrative service to the School, the University and its stakeholders. Maintain a sustained record of successful PhD supervision. Work collaboratively with
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change. Applicants should: A PhD in Education or a related field; Ideally, at least three years of experience in research and teaching, with a proven track record of academic excellence and leadership
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application system, please contact am_hr@fudan.edu.cn . For more information about the center, please visit https://am.fudan.edu.cn/ . Qualifications: 1. Candidates must have a PhD in mathematics or a closely