364 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Stanford University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. Extract
-
& EXPERIENCE (REQUIRED): High school diploma and four years of administrative experience, or combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Advanced computer skills
-
. 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
-
. Target start date is January 2026. Appointment Start Date: January 2026 Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://sustainability-accelerator.stanford.edu/ (link
-
telephone or in-person interviews to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform
-
to gather data, as needed. Administer standard study questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and
-
questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. Extract
-
the following areas: Expertise in organic or medicinal chemistry. Expertise in bioinformatics and machine learning. Outstanding mammalian cell culture techniques. Experience in basic cellular and molecular
-
. 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
-
on the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. The group works on robotics and machine learning, and it is affiliated with SAIL, the ML Group