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- “Understanding and predicting consumer psychology and behavior with generative AI digital twins”. Qualifications Applicants should: (a) have a doctoral degree in Computer Science or other related disciplines
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; (b) strong working knowledge of quantitative and qualitative approaches and methods; and (c) experience with data analysis software such as SPSS and NVivo. Applicants are invited to contact Dr
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should: Possess a Ph.D. in Economics, Public Policy, or a closely related discipline, with solid training in economics and quantitative research methods. Demonstrate strong research capability and a track
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course
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frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability
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quantum phenomena in strongly correlated systems; Analytic or numerical methods of quantum many-body systems and non-equilibrium systems; Quantum field theory; Modeling and calculation of solid-state
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) knowledge of SPSS or related qualitative analysis software (e.g. NVivo, MAXQDA, Taguette) and experience with AI-assisted coding methods; (c) an excellent command of both written and spoken English and
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Fundamentals Communication Research Methods Consumer Behavior Insight Crisis Communication Crisis Communication and Management Current Affairs Documentary Production Financial Communication and Promotion
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computational mathematics including applied analysis, mathematical modelling, scientific computation, numerical analysis, probability and statistics etc.; teach undergraduate and postgraduate courses; supervise
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project - “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b