321 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Stanford University in United States
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(https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package
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for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides
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the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered
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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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learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's
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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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. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational
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Appointment Term: 2 years with options to renew Appointment Start Date: 01/01/2026 Group or Departmental Website: https://www.stanfordpmhw.com/ (link is external) How to Submit Application Materials: Please
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and Centers: Ophthalmology Postdoc Appointment Term: 1 year with renewal based upon performance Appointment Start Date: ASAP Group or Departmental Website: https://med.stanford.edu/kapilofflab.html
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or Departmental Website: https://stanford.edu/group/tanglab/ (link is external) How to Submit Application Materials: Please apply through the following form: https://forms.gle/1vic3xFvaBt8qsRw7 (link is external