93 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Stanford University
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related field. Knowledge, Skills, and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong
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experience in Stata, R, SAS or similar statistical programming languages Prior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please
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or similar statistical programming languages Prior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please submit the following items
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work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability
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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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: Neurology and Neurological Sciences Postdoc Appointment Term: 1 year, renewable Appointment Start Date: January 1, 2026 Group or Departmental Website: https://med.stanford.edu/neurology.html (link is external
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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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. • 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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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