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to operate confidently in both global and local settings. In parallel, the role supports international student recruitment and student body diversification by working with upstream stakeholders—such as
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metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Computer Science, or a related quantitative
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to, Dynamical Systems, Bifurcation Analysis, Complex Networks, Optimization, Mathematical Biology, Biostatistics, Mathematical Epidemiology, Computational Biology, Bioinformatics, P robability Theory, Stochastic
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Areas: Computer Science / Artificial Intelligence , Computer Architecture , Embedded Systems, Edge Computing, and Mobile Computing Systems , Human-Computer Interaction , Software Engineering , Software
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Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and
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teaching focus in one or more of the following areas (including but not limited to): Foundation Models and Large Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing
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submitted, including links to each of your publications. Should your application remain incomplete, we shall either defer consideration or be unable to process it. Thank you for your understanding
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submitted, including links to each of your publications. Should your application remain incomplete, we shall either defer consideration or be unable to process it. Thank you for your understanding
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, including links to each of your publications. Should your application remain incomplete, we shall either defer consideration or be unable to process it. Thank you for your understanding. Application Materials
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RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment