366 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Stanford University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with
-
2026 Group or Departmental Website: https://kingcenter.stanford.edu/opportunities/prospective-postdoctoral-fellows (link is external) How to Submit Application Materials: For more information and to
-
Appointment Term: One year in the first instance with renewal possible Appointment Start Date: 05/01/2026 Group or Departmental Website: https://med.stanford.edu/genomics-of-diabetes.html (link is external) How
-
for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. * Extract data from source documents for research studies as directed. Collect data and
-
. Experience with database management and a willingness to learn new systems is an important aspect of this position. Oversee HR and Academic Affairs functions, including interpreting policies and ensuring
-
Appointment Term: Initially 1 year, renewable Appointment Start Date: Fall 2025 but flexible Group or Departmental Website: https://www.liwanglab.org/ (link is external) How to Submit Application Materials
-
Appointment Term: July/August 1, 2026 to June/July, 2027 (renewable) Appointment Start Date: August 1, 2026 (flexible) Group or Departmental Website: https://pedl.sites.stanford.edu/ (link is external) How
-
of education and relevant experience. Experience with HTML and web design, Adobe Photoshop, and social media applications strongly preferred. Knowledge, Skills and Abilities: Advanced computer skills and
-
, perform desk-based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file
-
and aggression, using optogenetics, in vivo imaging, electrophysiology, and sophisticated machine learning/artificial intelligence analyses of mouse behavior. All projects have translational components