17 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at University of Minnesota
Sort by
Refine Your Search
-
environment consisting of in-person and remote work. Information about the University’s flexible work program, Work. With Purpose. can be found at https://humanresources.umn.edu/home/flex-work. Travel In-person
-
government or a health care program is highly desirable About the Department SHADAC is a multidisciplinary health policy research center located at the University of Minnesota School of Public Health with a
-
, paid holidays, and generous time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental
-
familiarity with various microbial growth assays and measurement techniques. Pay and Benefits Pay Range: $15.25 - $16.25/hour; depending on education/qualifications/experience. Retirement plan options
-
: This position will be primarily supervised by Dr. Francis X. Shen, JD, PhD. Dr. Shen is a Professor at the University of Minnesota Law School, a member of the Faculty in the UMN Graduate Program in Neuroscience
-
willing to learn new techniques in a quickly evolving environment. Experience with analyzing complex data sets or the ability to program is a plus. The individual who fills this position must also be
-
willing to live in Minnesota Preferred Qualifications • Coordinated human research studies Physical & Environmental Requirements • Long periods at a computer terminal About the Department The Hormel
-
fundamental aspects of immunity. Pay and Benefits Pay Range: $17.50/hour Retirement plan options are available for Civil Service, Faculty, Labor-Represented, Professional & Administrative, and Temp Casual
-
programs. The faculty teach in the Plant Science and Food Systems and Sustainable Agriculture interdepartmental undergraduate programs and the Applied Plant Sciences graduate program. Job Duties Duties
-
to design and implement machine learning analyses of the results of evaluations of social and economic programs. The role combines modern machine learning with applied econometrics to estimate program impacts