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) (link is external) leverages the current moment of revolutionary science and fosters deep omnidirectional collaboration across sectors, seeking to change the way that research in early childhood is
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expertise in large language models (LLMs) and electronic phenotyping to join our dynamic team focused on advancing cancer research through innovative data-driven approaches in the Cancer Data Science Core
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) cancer screening modeling, (2) microsimulation, (3) decision analysis/health policy modeling, (4) survival data under competing risks, (5) dynamic risk prediction modeling (e.g., landmark model), and (6
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metabolism, redox biology, and tissue homeostasis using advanced MRI and MRS techniques, including dynamic redox imaging and spectroscopy-based metabolites' evaluation. The candidate will work with preclinical