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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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.-based academic institutions who can be matched to projects within their area of scientific expertise for this unique 2-3-year assignment. Applicants who are awarded a postdoctoral position will have the
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and BSL-4 laboratories utilizing a wide range of techniques such as in vitro and in vivo infection models, flow cytometry, ELISA, western blots, and multiplex immunoassays. Our projects rely
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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for high resolution imaging, developing computational models of islet blood flow changes; characterizing and applying novel ultrasound contrast agents including molecular targeted agents; and use of contrast