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comprehensive "undergraduate - master - doctor" talent training system. Currently, it hosts a postdoctoral research station in mathematics, a first - level doctoral program in mathematics, and a first - level
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between LLM and MIA, opening up new avenues for research and practical applications in the healthcare domain. About Postdoctoral Programme The postdoctoral programs at XJTLU are jointly run by the XJTLU
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Xi'an Jiaotong - Liverpool University – XJTLU Technology Transfer Centre Co., Ltd. (XTTC) Contract Type: Fixed-term, two-year contract About Postdoctoral Programme The postdoctoral programs at XJTLU
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Institute of Mathematical Sciences and Applications (BIMSA) invites applications for several postdoctoral positions in all fields of mathematics, theoretical physics, computer science, and their applications
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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Postdoctoral Program," offering enhanced compensation and the opportunity to directly transition into an Associate Professor role upon completion. - Additional Benefits: Includes social security, housing funds
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, commensurate with qualifications. Candidates who obtained their Ph.D. from world-class universities may apply for the "Yixian Postdoctoral Program," offering enhanced compensation and the opportunity to directly
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Postdoctoral Program," offering enhanced compensation and the opportunity to directly transition into an Associatet Professor role upon completion. - Additional Benefits: Includes social security, housing funds
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or continuously monitord systems are especially encouraged to apply. However, other research profiles, within the realm of theoretical physics, especially will also be seriously considered. Requirements: A PhD
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conjecture, -- Langlands program and related problems, -- algebraic geometry and complex geometry, -- partial differential equations and in particular Navier-Stokes equations, -- stochastic analysis