84 machine-learning-"https:" "https:" "https:" "UCL" Postdoctoral positions at Stanford University
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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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available Group or Departmental Website: https://med.stanford.edu/wendy-liu-lab (link is external) https://profiles.stanford.edu/wendy-liu (link is external) How to Submit Application Materials: Please send
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: The appointment will be for one year. Appointment Start Date: 01/15/2026 or once the position is filled Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://fieldlab.stanford.edu
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connectivity and graph-theoretic analyses Familiarity with MR sequence programming (Siemens or GE platforms) Machine learning / AI applied to neuroimaging data EEG acquisition and analysis Use of neuroanatomical
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Appointment Start Date: As soon as possible (but also interested in candidates who want to start later) Group or Departmental Website: https://profiles.stanford.edu/pascal-geldsetzer (link is external) How
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Appointment Term: July/August 1, 2026 to June/July 31, 2027 (renewable) Appointment Start Date: August 1, 2026, with some flexibility Group or Departmental Website: https://scale.stanford.edu/ (link is external
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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/Python coding, next-generation sequencing data interpretation, large-scale data integration, and machine learning. Science: strengthen the ability to formulate hypotheses, design aims to test the
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Appointment Term: 1-2 Years Appointment Start Date: Sept 1, 2026 Group or Departmental Website: https://digitaleconomy.stanford.edu/ (link is external) How to Submit Application Materials: To apply, please
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups