79 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at University of Minnesota
Sort by
Refine Your Search
-
, 2026. Qualifications Required qualifications: PhD in Chemical Engineering, Materials Science or a related field About the Department This position is in the Department of Chemical Engineering and
-
. Qualifications Qualified candidates must have a PhD in Electrical Engineering or related field. About the Department ECE is one of the largest departments within the College of Science and Engineering. Current
-
%) Publish papers in peer-reviewed journals and present at technical and clinical conferences. (15%) Participate in grant writing, mentorship and career development programs. This position may be filled at 75
-
have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Department of Bioproducts and Biosystems Engineering at University of Minnesota, Twin Cities, has an opening for a full
-
and various watershed management districts across the metro) to achieve project research and technology transfer objectives. We seek an energetic scientist committed to conducting research to understand
-
quality models to better understand the effect of soil health management practices on soil-water storage in agricultural fields. A postdoctoral position is available to examine the effect of soil health
-
modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications About the Department The Department of Biomedical Engineering is an academic unit
-
Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary of Position: The post-doctoral researcher will work under the
-
skills for this position. Specifically, the PA will use generalized additive mixed-effects models to analyze data from existing and ongoing projects. Fluency with the R programming language is essential