91 machine-learning "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Stanford University
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Postdoc Appointment Term: 2026-2028 Appointment Start Date: Early 2026 Group or Departmental Website: https://med.stanford.edu/bronte-stewart-lab.html (link is external) How to Submit Application Materials
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: initially one year, renewable Appointment Start Date: Sept-Oct 2025 Group or Departmental Website: http://cegelskilab.stanford.edu (link is external) How to Submit Application Materials: Please email the PI
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. Responsibilities may include: Designing and conducting studies on the clinical impact of GLP-1 and other metabolic therapies Developing and applying computer vision and machine learning techniques to analyze
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Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
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-December 2025 Group or Departmental Website: https://baronelab.org/ (link is external) https://biology.stanford.edu/ (link is external) https://hopkinsmarinestation.stanford.edu/ (link is external) How
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. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co‑author high‑impact
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: Ophthalmology Postdoc Appointment Term: 1 year with renewal based upon performance Appointment Start Date: As soon as possible Group or Departmental Website: https://www.nivs-lab.org/ (link is external) How
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-2 years, renewable Appointment Start Date: Jan 2026 Group or Departmental Website: https://www.hanzhulab.com/ (link is external) How to Submit Application Materials: Email: hanzhu[at]stanford.edu Does
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offer will be for a one-year term, with the possibility of annual renewal contingent upon performance Appointment Start Date: February 1st, 2026 (flexible) Group or Departmental Website: https
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scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data analysis and