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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- BNU-HKBU United International College
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- The Hong Kong University of Science and Technology (Guangzhou)
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, China [map ] Subject Areas: Computational Mathematics, Applied Mathematics, Artificial Intelligence, Numerical Analysis, Optimization, Statistics Appl Deadline: none (posted 2024/08/02) Position
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, China [map ] Subject Areas: Computational Mathematics, Applied Mathematics, Artificial Intelligence, Numerical Analysis, Optimization, Statistics Appl Deadline: none (posted 2024/08/02) Position
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interaction and integration; Continuously developing new products with the emerging customers’ needs in mind; Collaborating with other units of the department to optimize resources and contribute to the overall
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Analysis, Optimization, Time Series Analysis, Survival Analysis, Actuarial mathematics, Data Mining and Bayesian Statistics are welcome. Candidates are also expected to teach post graduate student courses
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, algebraic geometry, number theory, mathematical optimization, quantum algorithms, post-quantum cryptography, multi-party computation, zero-knowledge proofs, fully homomorphic encryption, privacy-preserving
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Algebra, Algebraic Geometry, Number Theory, Mathematical Optimization Cryptography: Post-Quantum Cryptography, Multi-Party Computation, Zero-Knowledge Proofs, Fully Homomorphic Encryption, Privacy
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structure have been constantly optimized in recent years, with employment rates ranking at the top. About 20% of students are granted national postgraduate entrance exam exemption each year. The school has
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to, Dynamical Systems, Bifurcation Analysis, Complex Networks, Optimization, Mathematical Biology, Biostatistics, Mathematical Epidemiology, Computational Biology, Bioinformatics, P robability Theory, Stochastic
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for distinguished professorship. Candidates in areas including, but not limited to, Dynamical Systems, Partial Differential Equations, Optimization, Stochastic Differential Equations, Stochastic Partial Differential
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, treatment planning, and patient care. The research will involve data collection and preprocessing, model architecture design, pre-training and fine-tuning, evaluation and benchmarking, and model optimization