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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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include but are not limited to statistics and probability, stochastic modeling, scientific computing, mathematical optimization and control, numerical analysis, and relevant adjacent fields. Candidates with
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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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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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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
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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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, neuroimaging, physiological, and immunological data within unified theoretical frameworks. Our work has been published in leading journals including Nature Mental Health, Molecular Psychiatry, and PNAS. (https
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writing, research seminars, and academic events. Technical Proficiency: Proficiency in at least one health data analysis or statistical tool (e.g., Python, R, or equivalent); Familiarity with
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primarily considered: Scientific computation and optimizations Probability and Statistics Differential equations and dynamical systems Analysis or Applied analysis Algebra and Combinatorics Geometry and
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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 differential