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. Knowledge in bioinformatics for the analysis of sequencing data is preferred. The intent of these studies is to determine the immunogenicity of tumor associated antigens identified in our humanized mouse
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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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Health Epidemiology and Population Health Health Policy Med: PCOR Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Medicine, Center for Digital Health Postdoc
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, bioengineering, and translational oncology, and a vibrant research community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data
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of publications Contact information for 3 professional references Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex
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. Current projects span diverse populations (cross-cultural work, children who are deaf/hard-of-hearing) and data collection settings (preschools, homes) using a variety of methods (child-centered wearables
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postdoctoral fellow, Dr. Adriana Umaña-Taylor, and other PIs at collaborating sites to analyze data, write grants, and contribute to dissemination efforts in peer-reviewed scientific journals. Primary
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research and current research interests (2 pages max.) One representative writing sample such as a journal article or dissertation chapter List of three relevant references, including contact information
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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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mission Curriculum vitae that includes a publication list Names and contact information for three references Stanford is an equal opportunity employer and all qualified applicants will receive consideration