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complex endometrial models and optimizing in vitro implantation assays. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis
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., Gifford, C. A. and Pleiner, T., The ER membrane protein complex acts as a chaperone to promote the biogenesis of multi-bundle membrane proteins. bioRxiv https://doi.org/10.64898/2026.01.14.699575(link is
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research at the intersection of AI reasoning, biomedical informatics, and clinical medicine. Our work focuses on understanding how AI systems reason over complex longitudinal patient information, how
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biological and clinical questions using complex human data. Required Application Materials: CV Brief cover letter describing research experience and interests 2-3 references Stanford is an equal opportunity
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experience with latent variable models (especially factor analysis, item response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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the team with compiling and analyzing geospatial datasets, developing and testing deep learning algorithms for complex image classification, optimizing data collection strategies for unmanned aerial vehicle
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independently and to mentor junior researchers, students, or trainees. Ability to collaborate effectively with a distributed, multi-institutional team. Experience teaching complex material to trainees
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, trustworthiness, and other dimensions of responsible AI performance. Experimental research. Design and execute large-scale field and survey experiments. Analysis and publication. Analyze complex data and lead