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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Beijing Institute of Mathematical Sciences and Applications
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Field
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the ethics of teachers and/or academic integrity; Have a first-rate background in academic training—specifically, a PhD in relevant disciplines, experience in studying and/or working at first-rate teaching and
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culturally responsive teaching and mentorship. Required Qualifications PhD in Mathematics, Applied Mathematics, Statistics, or a related field from an accredited institution by the time of appointment
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researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD Graduation; Strong background in deep learning, machine
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PhD degree in mathematics or a closely aligned discipline is required. Ideally few years of teaching/research experience at a university or equivalent after completion of PhD degree. Publications record
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successful applicant must be able to teach in English as XJTLU’s working and instructional language is English. QUALIFICATIONS: PhD degree or being in the process of completing in relevant research fields
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to the overall effectiveness and success of postdoctoral researchers in pursuit of advancing knowledge and making significant contributions to their respective fields. ESSENTIAL QUALIFICATIONS/EXPERIENCES PhD
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administrative service to the School, the University and its stakeholders. Maintain a sustained record of successful PhD supervision. Work collaboratively with relevant School(s), College and University entities
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or Full Professor): ESSENTIAL QUALIFICATIONS/EXPERIENCE: Applicants with a terminal degree (e.g., PhD, EdD) from a wide range of areas related to future education perspectives, especially in those areas in
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or Associate Professor): ESSENTIAL QUALIFICATIONS/EXPERIENCE: Applicants with a terminal degree (e.g., PhD, EdD) from a wide range of areas related to future education perspectives (or who are in the final
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interpersonal and communication skills. REQUIRED QUALIFICATIONS/EXPERIENCES Candidates must be a PhD holder in Internet of Things or other related subjects from a world-renowned university or be able