2 embedded Postdoctoral positions at National Aeronautics and Space Administration (NASA)
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data to learn transferable structural embeddings, creating a foundational model for forest structure representation learning. A second thrust centers on multi-modal fusion, designing and training shallow
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observations, and transform them into structured, model-ready representations. Through embedding-based retrieval and semantic geophysical indexing, the AI system will organize and synthesize disparate datasets
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