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functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and
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and summarize findings related to AI and large language models and their applications to above mentioned fields; Prepare research reports, presentations, and manuscripts for publication; and Collaborate
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Language Models (LLMs). Development and validation of personalized AI models for early diagnostics and risk stratification of progression risks among patients with chronic hepatitis B infection
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language models and their applications to above mentioned fields; Prepare research reports, presentations, and manuscripts for publication; and Collaborate with faculty, researchers, and other team members
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Language Models (LLMs). Development and validation of personalized AI models for early diagnostics and risk stratification of progression risks among patients with chronic hepatitis B infection
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learning in imaging analysis, clinical trials, epidemiology, genetic study, big data analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools
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analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools; (iv) proven track records and ability to work independently and within a team; (v