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Prof. Jintai Ding Prof. Jintai Ding is a globally recognized leader in post-quantum cryptography and currently the Dean of School of Mathematics and Physics at Xi’an Jiaotong-Liverpool University (XJTLU
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closely related area. About PQC-X The Post-Quantum Cryptography Migration Interdisciplinary Lab (PQC-X) is a newly founded lab at XJTLU, led by Prof. Jintai DING*, a globally recognized leader in Post
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Zhejiang Province), and Data Science and Big Data Technology. Additionally, there is a dual bachelor's degree program in "Information and Computing Science + Automation." Teaching Resources: The school
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, Shanghai 200092, China [map ] Subject Areas: All fields of mathematics, including but not limited to: • Pure Mathematics • Applied Mathematics • Computational Mathematics • Mathematical Physics • Statistics
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are desirable. About Sun Yat-sen University & Zhuhai: Sun Yat-sen University is a leading academic institution in China, renowned for excellence and innovative research. The Zhuhai Campus is strategically located
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. - Proven ability to conduct independent research and effectively collaborate within a multidisciplinary team. About Sun Yat-sen University & Zhuhai: Sun Yat-sen University is a leading academic institution
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University of Science and Technology of China, The Institute of Geometry and Physics Position ID: igp -POSTDOC [#26617] Position Title: Position Type: Postdoctoral Position Location: Hefei, Anhui
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demonstrate outstanding promises in both research and teaching. The deadline for applications for postdoctoral positions is December 15th, 2025 (applications submitted after the deadline might be considered but
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Position Location: Beijing, Beijing, China [map ] Subject Area: Mathematics / Physics Appl Deadline: (posted 2023/11/19, listed until 2025/11/08) Position Description: Apply Position Description Beijing
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optimization algorithms for both estimation and inference. Special emphasis is placed on advancing statistical approaches to address the demands of increasingly complex, high-dimensional, and unconventional data