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learning for foundation models, reinforcement learning, variational autoencoders or agentic AI. Theoretical insight into contemporary neural networks such as transformers is essential, and knowledge
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, generative design, building performance optimization, digital design methods (e.g., predictive modeling, multi-agent systems and algorithmic techniques for architectural design), digital design epistemologies
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with both open and sensitive data. The provided applications cover a broad area of types and systems, e.g., Jupyter Lab notebooks, RStudio, VS Coder, apps for genomics, engineering, agent-based modelling
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