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- ; Xi'an Jiaotong - Liverpool University
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countries, including EPSRC Programme grant "Symmetries and Correspondence". The principal investigator is Professor Ivan Fesenko. Professor Ivan Fesenko's Higher Number Theory page: https://ivanfesenko.org
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. - Research Areas: Positions are focused around Deep Learning and Inverse Problem Regularization. Successful candidates will engage in diverse projects ranging from provincial to national levels, in
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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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of expertise of an applicant are pure, applied or computational mathematics. The successful candidate will have no obligation to teach, but will be required to apply for an external funding from National Natural
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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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particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Positions Multiple positions are open at the level of post-doctoral researcher with two-year term. Positions will remain open until filled
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packages for the successful candidate. Topics of Interests Post-Quantum Cryptography Multi-Party Computation Zero-Knowledge Proofs Fully Homomorphic Encryption Post-doc Position The position is open at
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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
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of China, Sub-projects of the National Science and Technology Support Program, the National Spark Program, and Key R&D programs in Hainan, Guangxi, and Jiangsu provinces, as well as industry-funded