321 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Stanford University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
ABILITIES (REQUIRED): Demonstrated success in leading teams to apply data science, machine learning, and other advanced computing techniques to solve complex research problems. Expertise in data science
-
*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk-based computer tasks, use a telephone and write by hand, lift, carry
-
related field. Knowledge, Skills, and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong
-
. To learn more about the Center, please visit: http://med.stanford.edu/pmhw . The position will be based within a collaborative team that values a diversity of thought and background, cooperation, fairness
-
: AY 2026-27 Appointment Start Date: September 1, 2026 Group or Departmental Website: https://ceas.stanford.edu/opportunities/postdoctoral-fellowship-chinese-studies (link is external) How to Submit
-
: initially one year, renewable Appointment Start Date: Sept-Oct 2025 Group or Departmental Website: http://cegelskilab.stanford.edu (link is external) How to Submit Application Materials: Please email the PI
-
certification is preferred. PHYSICAL REQUIREMENTS*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk-based computer tasks
-
, SKILLS AND ABILITIES (REQUIRED): Comprehensive understanding of scientific principles. General computer skills and ability to quickly learn and master computer programs, databases, and scientific
-
aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and
-
light/fine grasping. Occasionally sit, reach above shoulders, 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