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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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topics such as p-adic representation theory, harmonic analysis, the Langlands program, and geometric representation theory, contributing to NTU's mission of advancing mathematical knowledge and building
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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models for graphs. As part of Karsten Borgwardt's Department of Machine Learning and Systems Biology, these methodological advances will provide the foundation for a broad range of downstream analyses
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new theory, models and algorithms in the areas of computer aided design, geometric modeling, deep learning, LLMs, etc. Develop and implement algorithms and prototype tools for 3D content generation
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, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency
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data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks
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. These integrated models will reveal emergent biological properties, identify novel therapeutic targets, and establish new approaches for understanding complex human disease. About The Role We are seeking