111 assistant-professor-and-data-visualization Postdoctoral positions at Stanford University
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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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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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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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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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, 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
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, or digital electronics Required Application Materials: Curriculum Vitae (CV) Statement of research interests Presentation-style summary of prior research (PDF or slide deck) Contact information for three
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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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pharmacotherapy and exploratory, rapid acting therapies, including guanfacine, MDMA-assisted cognitive processing therapy and TMS. Supporting this program—and this position—are NIH awards under NIMH’s priority
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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