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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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professional interests. 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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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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. 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. Postdoctoral fellows
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. Proficiency in programming (Python, Julia), and high-performance computing (provide evidence with specific examples) Ability to work independently and collaboratively. Strong written and oral communication
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-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes research
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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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transcriptomics analysis • Interest in cancer biology and immunology principles • Excellent written and verbal communication skills Preferred Qualifications: • Experience with machine learning approaches
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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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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