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                . Additionally, the lab has weekly group meetings, reading groups, and regular social outings. Stanford HAI (link is external) is also committed to creating a diverse community of scholars who are engaged in 
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                Lab. As such, we are looking for candidates who are interested in launching a project from the ground-up, are effective in small teams, and are excellent communicators. Successful candidates will join a 
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                highly motivated and self-driven Have excellent communication (verbal and written) and interpersonal skills Experience in MR research is essential Candidates with preclinical MR neuroimaging research 
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                large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes 
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                molecular biology, including proficiency and independence working with cell cultures, iPSC lines Excellent communication skills, including verbal and writing skills Ability to work well in a collaborative 
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                relevant expertise Excellent organizational and communication skills Team-oriented and collaborative Able and eager to lead independent projects, analyze and organize results and quantitative data, and 
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                program? To reduce racial and economic inequalities in early childhood, the next generation of scholars will need to collaborate with communities and educational partners to co-produce a base of 
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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