252 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Stanford University in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
-
for immediate access to your resume, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition #108641 A cover letter and resume are required for full
-
. For more information on our department, please see our website: https://med.stanford.edu/anesthesia.html Duties include: * Respond to inquiries, and determine and take appropriate action as required. Serve
-
scheduling of procedures and charges, coordinate documents, and attend monitoring meetings with sponsors, acting as primary contact. Assist in coding qualitative interviews, data-cleaning, and participating in
-
files for immediate access to your resume, you must apply to http://stanfordcareers.stanford.edu and in the key word search box, indicate Requisition #108558 A cover letter and resume are required
-
the University's Administrative Guide, http://adminguide.stanford.edu . The expected pay range for this position is $39.20 to $45.56 per hour. Stanford University provides pay ranges representing its good faith
-
found in the University's Administrative Guide, http://adminguide.stanford.edu . The expected pay range for this position is $34.56 to $40.30 per hour. Stanford University provides pay ranges representing
-
the University's Administrative Guide, http://adminguide.stanford.edu . Hybrid work agreement The expected pay range for this position is $34.56 to $40.30 per hour. Stanford University provides pay ranges
-
with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http
-
of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications