Sort by
Refine Your Search
-
internal equity. Pay Range: 76,383-86,383 Our lab investigates the functional principles, development, and computational properties of organism-wide circuits for brain-body interactions. We
-
research. The ideal fellow will be interested in developing and applying novel computational algorithms to novel datasets generated in the setting of non-neoplastic and neoplastic disease. Key
-
their own research program, under supervision of the principal investigator, as well as work across the many outstanding resources, institutes (e.g. Institute for Human-Centered AI) , and faculty labs across
-
University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single
-
mice or humans, and to develop therapies. Prior research experience in stroke or a field related to our research, with prior publications that demonstrate high quality research. Outstanding references
-
University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. The Stanford Center on Computational Market Design invites
-
Radiology within the Department of Radiology is seeking a postdoctoral scholar to perform basic functions and activities involved in defined research projects and independently conduct and analyze experiments
-
appointment will be for one year, with renewal contingent upon performance. Appointment Start Date: Flexible (June 2026 - Oct 2026) How to Submit Application Materials: Interested candidates should submit
-
, synthetic biology, genetic screening, computational approaches, and advanced microscopy. Projects are designed to be tailored to the scholar’s interests, and additional details can be discussed following
-
Appointment Term: This postdoctoral position is for one year, with the possibility of renewal based on performance. Appointment Start Date: September 2026 How to Submit Application Materials: Submit all