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of the post-doc is to study how innovations in AI, especially adaptation of Large Language Models (LLMs) architectures for time-series data, can be used in study of aging, health span, and longevity
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contribute to the lab partnerships with policy institutions. This is a vibrant community with plenty of interaction and the expectation of working collaboratively in smaller groups and then presenting research
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) which will be structured according to research and professional interests. Stanford HAI (link is external) is also committed to creating a diverse community of scholars who are engaged in contributing
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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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partnered with HAI. Stanford HAI (link is external) is also committed to creating a diverse community of scholars who are engaged in contributing to the understanding and advancement of Human-Centered AI
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direct research experience in cardiovascular disease, cancer, and chronic disease prevention, community and health psychology, behavioral medicine, sleep medicine, clinical and community trials methodology
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blockade (Phillips, Matusiak, et al, Nature Communications, 2021). We do research at the forefront of spatial biology and offer training in immunology, human histology, statistics, computer vision, grant
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to investigate the molecular and cellular mechanisms of intercellular communication in the healthy brain and in tumor microenvironment (TME). The major focus of our lab is to advance technologies including single
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and communicate findings to the field as demonstrated by first author publications in respected journals and oral conference presentations. ● Experience culturing and maintaining human iPSCs
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candidates will have a strong track record of research productivity, excellent communication skills, enthusiasm for basic research or technology development and a willingness to work as a leading part of a