358 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Stanford University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. 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
-
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
-
to quickly learn and master computer programs. Ability to work under deadlines with general guidance and manage multiple research tasks simultaneously. Excellent organizational skills and demonstrated ability
-
. 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
-
interviews 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
-
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 general
-
. Supporting that mission is a staff of more than 10,000, which is rooted in a culture of excellence and values innovation, collaboration, and life-long learning. To foster the talents and aspirations of our
-
knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs
-
University School of Medicine’s Faculty Search and Applicant Tracking (FSAT) website at the following link: http://Facultypositions.stanford.edu/cw/en-us/job/494809 Interested candidates should submit a CV, a
-
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