79 postdoctoral-human-computer-interaction Postdoctoral positions at University of Minnesota
Sort by
Refine Your Search
-
of stable isotopes, mass spectrometry, and computational modeling to quantify in vivo metabolic fluxes in genetically-engineered mice. Under the direction of Curtis Hughey, the postdoctoral associate will
-
for multiple open postdoctoral positions starting Fall Semester 2026. We seek candidates with a record of excellence in the mathematical sciences. Note that H-1B sponsorship may be provided to those who
-
challenges to realize the benefits of UHF on ASL imaging for clinical research or application studies. In addition to working on ongoing projects (e.g., UHF high-resolution brain, knee and renal ASL imaging
-
Health Policy Postdoctoral Program supports professional development of researchers as they pursue the following goals: 1. Conduct research to inform the development, implementation, and evaluation
-
applicant(s). Applicants must have completed their Ph.D. or Psy.D. from an accredited program in clinical or counseling psychology and/or relationship/family therapy prior to starting this fellowship program
-
regeneration using human induced pluripotent stem cells derived cardiac cell types and engineered tissue models. As a team member, you will be responsible for conducting experiments and collecting data. You will
-
tasks, in the Department of Civil, Environmental, and Geo- Engineering. The successful candidate will interact with, lead, and assist graduate and undergraduate students in the research group. 90
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job We are seeking a highly motivated and qualified Postdoctoral Research Associate to join our interdisciplinary team focused
-
Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Dentistry invites applications for a postdoctoral associate to join the laboratory
-
or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine