190 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at University of Minnesota
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Previous Job Job Title Teaching Assistant Professor or an Instructor with an Emphasis in Public Law Next Job Apply for Job Job ID 372455 Location Duluth Job Family Academic Full/Part Time Full-Time
-
Previous Job Job Title Data Collector (Temporary / Casual) Next Job Apply for Job Job ID 372147 Location Twin Cities Job Family Supplemental Employee Full/Part Time Part-Time Regular/Temporary
-
Assistance Program with eight sessions of counseling at no cost Employee Transit Pass with free or reduced rates in the Twin Cities metro area Please visit the Office of Human Resources website for more
-
at the Associate or Full Professor level in the Department of Food Science and Nutrition in the College of Food, Agricultural, and Natural Resource Sciences. The appointment will typically consist of 50% research
-
Previous Job Job Title Research Professional 1-Informatics - Department of Neuroscience Next Job Apply for Job Job ID 371587 Location Twin Cities Job Family Research Full/Part Time Full-Time
-
identity, or gender expression. Department Overview The Department of Animal Science (http://www.ansci.umn.edu) in CFANS is located on the St. Paul campus. The Animal Science major enrolls approximately 400
-
using technology to monitor trends, compile annual reports, and demonstrate program impact. Ensure availability and accuracy of the local program data. Create and update volunteer programs and educational
-
initiatives. This position combines sponsor-facing program management (planning, contracting, reporting) with technical fluency in aquatic and marine sciences, environmental data systems, underwater acoustics
-
Previous Job Job Title Assistant Professor: Animal Genetics and Breeding Next Job Apply for Job Job ID 371911 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
-
. Communicate plant science concepts using inquiry-based learning, accessible language, and teaching techniques that match the diverse needs of Arboretum visitors 20% Visitor-led educational experiences Assist