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the field of dermatology, leveraging epidemiology, data science, and public health to advance health equity. Leandra A. Barnes, MD is an NIH-funded K scholar committed to elucidating the underlying mechanisms
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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, submit the required application materials, or find out more information, please contact Dr. Brian Kim (kimjb at stanford edu). The position will remain open until filled. Does this position pay above the
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different disciplines and mentors Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1 year minimum with the option to extend
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-oriented and collaborative, with the ability to lead independent projects. Required Application Materials: CV A brief statement of research interests Contact information for 2-3 references Stanford is an
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research activities. Support and expand the impact of projects conducted in the Lab. Identify, recommend and implement opportunities for new research. Source, collect and analyze data, create reports, review
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research design and/or data analysis exercise as part of the interview process. Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range
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) . Lab information can be found here: http://profiles.stanford.edu/nathan-lo (link is external) . Review of applications will be performed on a rolling basis and continue until the position is filled. Does
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Posted on Fri, 06/07/2024 - 14:14 Important Info Faculty Sponsor (Last, First Name): Plevritis, Sylvia Stanford Departments and Centers: Biomedical Data Sciences Postdoc Appointment Term: Two
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, clinicians, and researchers with research-backed assessments to advance learning, accelerate reading research, promote understanding of learning differences, and foster equitable access to high-quality, data