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://www.cqm2itp.com/ Research fields (1) Quantum many-body theories and numerical methods, particularly tensor network-based algorithms for studying ground states, finite temperatures, and dynamics. (2) Frustrated
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to communication theories, research methods, video production, graphic design, and others of the applicant’s own interests. Research and practical experience in AI and digital media-related areas will be an added
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as office hours that inspires and engages students, using diverse methods and technologies aligned with Keele’s and CDUTCM academic standards. Provide comprehensive academic support and mentorship
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development within the Programmes, including the revision of existing modules. To contribute to the introduction of new modules and the introduction of new or revised teaching and/or assessment methods and
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appropriate media and methods to promote understanding. To attend and contribute to Programme Committee Meetings, Programme Team Meetings and other subject group meetings and working groups as required
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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the development and application of machine learning methods in economics, finance, or social sciences. The successful candidate will have a strong publication record, demonstrated teaching and leadership experience
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methods in economics, finance, or social sciences. The successful candidate will have a strong publication record, demonstrated teaching and leadership experience and be able to contribute to advancing
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. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred
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as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts