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deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work
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mental health challenges. Goals of this postdoctoral position include: 1) leverage deep learning/large language models for extracting and analyzing information from clinical texts and 2) develop scalable
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collaboratively when preparing manuscripts for publication. Topical expertise in ECE and supporting policies (such as child care subsidies via CCDF). Knowledge or previous experience in analyzing text-based data
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will have a background in machine learning and natural language processing (NLP), with a demonstrated ability to work with large language models (LLMs) and unstructured clinical text from electronic