38 phd-position-computer-science-"https:" Postdoctoral positions at Stanford University
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and pursue independent research directions. Required Qualifications: Completed PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, or a closely related area prior to their appointment
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Appointment Term: 1-2 years depending on performance and availability of funding Appointment Start Date: Summer/ as soon as possible Group or Departmental Website: https://sparklab.stanford.edu/ (link is
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the resulting data from the experiments. Required Qualifications: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including
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) https://simes.stanford.edu/ (link is external) How to Submit Application Materials: Email CV to aaron.sharpe@stanford.edu (link sends e-mail) Does this position pay above the required minimum
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: Postdoc positions renew yearly with an ideal total duration of 3 to 5 years. Appointment Start Date: Flexible (January-September 2026) Group or Departmental Website: http://hernandez-nunez-lab.com (link is
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all application material to: https://forms.gle/Goi1LE52hYk9otMQ8 (link is external) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in
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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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: Postdoc positions renew yearly with an ideal total duration of 3 to 5 years. Appointment Start Date: Flexible (January-September 2026) Group or Departmental Website: http://hernandez-nunez-lab.com (link is
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determined pending application date and program needs. Group or Departmental Website: http://flentje.stanford.edu (link is external) How to Submit Application Materials: Submit your application via this link
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with