84 computer-science-data-wahrn-hous Postdoctoral positions at University of Minnesota
Sort by
Refine Your Search
-
Regular Job Code 9546 Employee Class Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up
-
. Commitment to good data management is a highly desirable skill for this job. Experience with data visualization and preparation of scientific manuscripts are desirable skills. Desired start and end dates
-
related to engineering specialized metabolite biosynthetic pathways Essential and Other Functions: (40%) molecular biology and microbiology (50%) Data analysis (10%) Prepare manuscripts and communications
-
% – Conduct computational modeling and/or analyze data from clinical and preclinical studies related to neurological conditions (e.g., epilepsy, chronic pain, autonomic dysfunctions) 30% – Develop grant
-
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
-
Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Santelli Geomicrobiology and Bioremediation Lab in the Department of Earth and Environmental Sciences and the
-
to improve your biocomputing skills through tutorial Qualifications Required Ph.D. in Computational biology, Bioinformatics, Plant breeding/genetics, or related field. Individual may be immediate post-degree
-
other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also
-
ability, strong mathematical background, computer programming experience. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that
-
with innovative modeling methods and data analytics methods and spur cross-discipline development between the team in both water resources and computer science. Specifically, the research projects