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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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healthcare, finance, or urban planning; system-level designing and optimizing to ensure AI platforms are scalable, secure, and efficient. IoT vehicle-to-everything (V2X) IoT Wireless Networking IoT Embedded
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ADC manufacturing, process optimization, or regulatory submission (e.g., IND/NDA) or collaborations with biopharmaceutical companies in ADC development are particularly encouraged to apply. PERSONAL
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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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, 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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, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics. Areas of interest include but
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professor positions in Applied Mathematics. The preferred areas include mathematical and computational biology, applied/stochastic PDEs, optimization, data analysis and applied analysis. Exceptional
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the pharmaceutical/biotech industry or collaborative research with industry partners. Candidates with hands-on experience in ADC manufacturing, process optimization, or regulatory submission (e.g., IND/NDA
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, Computer Science, Economics, Finance, Financial Engineering, Information Systems, Machine Learning, Mathematical Finance, Operations Research, Optimization, Probability, And Statistics. Areas of interest include but
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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