85 algorithm-development "https:" "Simons Foundation" Postdoctoral positions at Stanford University
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single-cell RNA-seq, ADT-seq, ATAC-seq, DNA
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funded by the Simons Foundation that aims to uncover how opportunities for action ("affordances") shape neural representations, perception, and behavior. Why this position? You will sit at the center of a
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typologically diverse languages Creating self-supervised learning algorithms that can assess phonological development and speech complexity in children from birth through age 6, with applications to both typical
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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
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Affairs. The FY25 minimum is $76,383. The research group led by Dr. Zihuai He (https://profiles.stanford.edu/zihuai-he (link is external) ; https://www.zihuai-he.com/ (link is external) ) at Stanford
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will continue to investigate human brain development with a focus on stem cell lineages and synaptic diversity. See https://scholar.google.com/citations?user=09RosEoAAAAJ (link is external) for a
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: Pediatric Surgery Postdoc Appointment Term: 2 Years Appointment Start Date: 02/01/2026 Group or Departmental Website: https://pediatricsurgery.stanford.edu/ (link is external) https://med.stanford.edu
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: Physics Postdoc Appointment Term: 2-years Appointment Start Date: As soon as possible Group or Departmental Website: http://aaronsharpe.science (link is external) http://ggg.stanford.edu (link is external
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or longer depending on funding and research progress Appointment Start Date: as early as September 2025 Group or Departmental Website: https://oconnell.stanford.edu/ (link is external) How to Submit