140 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs at Stanford University
Sort by
Refine Your Search
-
relevant experience in an applicable social science. Knowledge, Skills and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and
-
. Ability to clearly and effectively communicate information to internal audiences and client groups. PHYSICAL REQUIREMENTS: Constantly perform desk-based computer tasks. Frequently sit, sort, file paperwork
-
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, databases, and scientific
-
market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits
-
computer skills, including Microsoft Office Suite and ability to learn applicable university and departmental systems. PHYSICAL REQUIREMENTS *: Frequently perform desk based computer tasks, seated work and
-
invite you to join our team! Learn more about our team here: https://med.stanford.edu/lcgm.html . Duties include, but are not limited to: Serve as property operations / maintenance point of contact
-
methods, typically gained through completion of an undergraduate degree in a related field. General computer skills and ability to quickly learn and master computer programs. Ability to work under deadlines
-
applications (e.g., Word, Excel, Google Sheets, CriticalArc) and the ability to adapt to new technologies and processes. Upon request, retrieve and analyze queried information from databases. * Ability
-
campus operations across Stanford University. Candidates with backgrounds in power generation, district energy systems, industrial utilities, or military propulsion systems are strongly encouraged to apply
-
Law School seeks to hire a Junior Data Scientist to support routine data cleaning, dataset preparation, and the construction of standard machine learning pipelines. This role supports the core research