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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
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Field
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research and educational collaboration in areas such as computational linguistics, social data analysis, digital media and communication, AI and culture, and technology and society. As a research-intensive
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research and educational collaboration in areas such as computational linguistics, social data analysis, digital media and communication, AI and culture, and technology and society. As a research-intensive
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the development opportunities of applied mathematics, we will vigorously recruit talents in the field of pure mathematics, covering specialties in analysis (functional analysis, harmonic analysis, stochastic
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excellent researchers in design, analysis, implementation and/or application aspects of the following areas, and will offer internationally competitive salary packages for successful candidates. Topics
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The Post-Quantum Cryptography Migration Interdisciplinary Lab (PQC-X) at XJTLU has multiple openings for post-doc positions. We are seeking excellent researchers in design, analysis, implementation
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planning related projects. Your key responsibilities include: Support the regular preparation, analysis and reporting of university-level and subject-level external rankings. Collect, verify, analyse and
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Professor in Applied Mathematics (Ref: FST250902) Job Description The successful candidate is expected to deliver lectures and tutorials in the areas such as real analysis, complex analysis, partial
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following fields: • Computational Social Sciences – with expertise in areas such as digital research methods, social network analysis, computational text analysis, AI and society, data visualisation
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considered: (1) Mathematical Logic and Combinatorics (2) Geometry and Topology (3) Analysis or Applied analysis (4) Scientific computation and Optimizations (5) Probability and Statistics (6) Algebra and
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research initiatives and contribute to grant writing, research seminars, and academic events. Technical Proficiency: Proficiency in at least one health data analysis or statistical tool (e.g., Python, R