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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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with remote sensing data (satellite, aerial, hyperspectral, SAR, LiDAR) Computer Vision Natural Language Processing Remote Sensing Machine Learening and Deep Learning Reinforcement Learning Large
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Responsibilities Architect and implement large-scale, georeferenced 3D digital twin models Develop computational pipelines for integrating vector, raster, terrain, LiDAR, and photogrammetric data Design procedural
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synthesis and procedural world-building AI-assisted asset creation and semantic scene enrichment Synthetic data generation for perception and simulation Embedding real-time inference within rendering