321 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at Stanford University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
credential desired. PHYSICAL REQUIREMENTS*: Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push and pull objects weighing up to ten pounds
-
(e.g., expertise in RedCAP or MySQL); graphical techniques (e.g., expertise in Illustrator). PHYSICAL REQUIREMENTS*: Frequently perform desk based computer tasks, seated work and use light/ fine grasping
-
. Ability to direct the work of others, for jobs requiring supervision. Certifications and Licenses: None PHYSICAL REQUIREMENTS *: Frequently stand/walk, sit, perform desk-based computer tasks, and use a
-
computer tasks. Frequently stand/walk, sitting, grasp lightly/fine manipulation. Occasionally use a telephone. Rarely lift/carry/push/pull objects that weigh 11-20 pounds. WORKING STANDARDS: Interpersonal
-
patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
-
minimum of 12 months Appointment Start Date: Early/mid 2026 Group or Departmental Website: https://evodesign.org/ (link is external) How to Submit Application Materials: Please directly contact us at
-
relevant field, or combination of education and relevant experience in an applicable social science. General computer skills and ability to quickly learn and master computer programs. Programming experience
-
. Subject matter expertise for area(s) of responsibility. PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer tasks. Frequently sitting. Occasionally stand/walk, reach/work above shoulders, use a
-
theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment. Ability to work under deadlines with general guidance
-
: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures (http