321 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at Stanford University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The following position will have the flexibility to be based anywhere in the U.S., for candidates who are willing to travel to the Stanford School of Medicine campus 5%-10% of the time, as needed. Are you
-
The following position will have the flexibility to be based anywhere in the U.S., for candidates who are willing to travel to the Stanford School of Medicine campus 5%-10% of the time, as needed
-
must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa. About Us The Stanford Doerr School of Sustainability strives to create a
-
to significantly extend our existing team’s capabilities for data scoring and analysis (e.g., with expertise in natural language processing, machine learning, or computational modeling). Finally, the
-
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
-
Metabolism Postdoc Appointment Term: 2 years Appointment Start Date: Rolling admission, applicants can apply as soon as possible. Group or Departmental Website: https://www.research.va.gov/programs/bd-step
-
join the group to develop AI and machine learning based software to assist clinical workflow and pre-clinical studies. Required Qualifications: Ph.D. in a physical science or engineering field Strong
-
: The appointment will be for one year. Appointment Start Date: 01/15/2026 or once the position is filled Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://fieldlab.stanford.edu
-
in which all members have diverse roles. A hybrid or remote work agreement may be considered for this position. Learn more about our team here: https://med.stanford.edu/pans.html . Duties include
-
subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due