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probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields Appl Deadline: 2025/10/30 11:59PM (posted 2025/09/24, listed
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at www.mathjobs.org. • CV, including a list of publications • A research statement of up to 5 pages, describing your main achievements to date, as well as outlining the program of research you intend to follow
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internationally competitive annual salary (RMB 300K+; negotiable) and benefits including excellent medical insurance, rent-subsidized on-campus housing, children‘s education and retirement plan. You have the
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programme and research growth in this area. Ideal candidates will demonstrate a track record of impactful research contributions in one or more of the following key areas: Metallurgy, Ceramics, Polymer
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position offers an exceptional opportunity to establish a cutting-edge research program in computational biosciences within a dynamic, international academic environment. The appointee will have access
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administrative responsibilities of the Department Director encompass, but are not confined to, the following: Grow and develop the program(s) to enhance its academic reputation and national presence; Assist in
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statement of up to 5 pages, describing your main achievements to date, as well as outlining the program of research you intend to follow for the next few years. • A teaching statement • Four letters
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program are eligible for an additional 1M to 10M RMB housing subsidies. The exceptional candidates may be considered on a case-by-case basis. Minimum Requirements and Responsibilities. Candidates must
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experience, plan of future research, and at least two confidential letters of recommendation to arrive by November 21. Applications for KIAA Fellowships should be submitted at https://academicjobsonline.org
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well as the provision of service teaching for other programmes within the university. At the postgraduate level, we ofer a PhD programme in Mathematcal Sciences. RESPONSIBILITIES AND DUTIES: Conduct high-quality research