84 polymer-material-simulation-research Postdoctoral positions at University of Minnesota
Sort by
Refine Your Search
-
Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research This research is related to the integration of computation into the undergraduate physics
-
Biotechnology Institute at the University of Minnesota, Twin Cities is hiring a postdoctoral researcher in geomicrobiology/molecular biology. This researcher will work on an NSF-funded CAREER grant to determine
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary of Position: A postdoc position is immediately available to perform molecular biology and biochemistry research
-
Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job We are seeking a 100% time on-campus postdoc to conduct research in the area of legume crop genomics and
-
/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This is a job posting for postdoctoral positions working in the research groups
-
the Department of Electrical and Computer Engineering at the University of Minnesota - Twin Cities during the current fiscal year to conduct grant supported research in all areas of electrical and computer
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Aslanidi Lab research is focused on bioengineering and the application of Adeno-Associated virus (AAV) vectors
-
and then model their space use and behavioral patterns. The post-doctoral researcher will also be responsible for coordinating a team to deploy and monitor behavioral playback cameras, developing a data
-
biology, genetics, physiology or biomedicine and have a strong track record of, and potential for, success. The applicant should have a keen research interest in cell signaling, calcium dynamics
-
to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants