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Application Materials: Please send your application package as a zipped file to kseetah@stanford.edu (link sends e-mail) , with the subject line: Application for 'Integrating Natural and Cultural Data' postdoc
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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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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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. 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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) . 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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/summerhanlab.html (link is external) How to Submit Application Materials: Please email a cover letter, CV, a short description of research interests, and contact information of three referees to: Summer Han, Ph.D
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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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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a
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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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, to changes in the ocean soundscape and concurrent impacts on marine life. Shipwrecks are a ubiquitous, underutilized, multidimensional and multiproxy, data resource describing the many-to-many relationships