100 structural-engineering "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at Stanford University
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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: Apply by
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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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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 to Submit
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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) How
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based on performance and funding). Appointment Start Date: Flexible Group or Departmental Website: https://med.stanford.edu/neurology.html (link is external) How to Submit Application Materials: Please
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-genomically templated CD8+ T cell epitopes derived from the proteasome catalyzed splicing of peptides (PCPS). Our work suggests that PCPS peptides are dependent on protein structure and not just the mutated
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: As soon as possible Group or Departmental Website: https://naturalcapitalproject.stanford.edu/ (link is external) How to Submit Application Materials: Send an email with your attachments
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together experts in systems neuroscience, AI, and engineering. This ambitious initiative promises to offer unprecedented insights into the brain's algorithms of perception and cognition while serving as a
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Posted on Thu, 09/18/2025 - 15:20 Important Info Other Mentor(s) if Applicable: Professor Jenna Davis and Professor Rishee Jain Stanford Departments and Centers: Civil and Environmental Engineering
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community at Stanford looking at the health impacts of environmental changes. The successful candidate will have strong data skills, including experience handling complex data structures, working with spatial