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Field
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appreciated ESSENTIAL QUALIFICATIONS/EXPERIENCES A PhD or a PgCert HE or equivalent; Ideally few years of teaching/research experience at a university or equivalent after completion of PhD degree; PhD
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respect for deadlines; Able to work in an environment where diversity and inclusiveness is appreciated ESSENTIAL QUALIFICATIONS/EXPERIENCES A PhD or a PgCert HE or equivalent; Ideally few years of teaching
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numbers of PhD and EdD students. The successful candidate will be expected to take a lead role in collaborative research projects, as well as conducting original research of their own that results in
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mathematics and statistics. 2. Mentoring post-doctoral fellows， supervising PhD students. 3. Teaching undergraduate and graduate courses. 4. Service to professional community and the University. 5. Facilitating
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statistics, and cross-disciplinary research areas related to mathematics and statistics. Qualifications: Excellent academic background, PhD degree, undergraduate and graduate studies should be carried out
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after PhD): 2+possible 1-year extension. Deadline: May 17th, 2025, until 18:00 CST We are seeking outstanding candidates in one of the following areas: scientific computing with applications in solid and
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, computational mathematics and statistics. 2.Mentoring post-doctoral fellows， supervising PhD students. 3.Teaching undergraduate and graduate courses. 4.Service to professional community and the University. 5
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Topology Candidates must hold a PhD in mathematics, statistics, or a closely related field by the start date of the appointment. Preference will be given to candidates who demonstrate a strong record of
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. There will also be opportunities to provide supervision for our growing numbers of PhD and EdD students. The successful candidate will be expected to take a lead role in collaborative research projects, as
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. Participate in program promotion activities (e.g., open days, admission events, outreach seminars) and perform other duties as assigned by the Program Director. Job Requirements A PhD degree in a relevant field