858 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at University of Minnesota
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Appointment: 100% Appointment Position Type: Civil-Service & Non-Faculty Labor Represented Staff Please visit the Office of Human Resources website for more information regarding benefit eligibility
-
the Office of Human Resources website for more information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: The University offers a comprehensive benefits
-
% Utilize DNA cloning techniques for construct design. The employee will analyze data from these experiments, formatting the information for easy communication. Employee synthesizes data from experiments with
-
all requirements are met. They are also responsible for entering the data into the Enterprise Financial System (EFS). This work is largely scripted by established procedures and guidelines. The primary
-
performing precise field operations, maintaining specialized equipment, and ensuring accurate data collection as part of a collective research effort. Major Responsibilities: Research Plot Support (65%) Assist
-
accredited fellowships. More information about the department can be found at http://www.med.umn.edu/pathology/ . The Department of Laboratory Medicine and Pathology recognizes the values and importance
-
equipment, preparing/packing for field trips, reporting on sample collection activities (10% time) Processing invertebrate or water quality samples in the laboratory (5% time) Using computer and GPS
-
. For more information about UMF, please visit https://give.umn.edu/about/about-umf. Pay and Benefits Pay Range: $85,000-105,000 + eligible for 10% incentive opportunity; depending on education/qualifications
-
scholarly, collaborative physical therapists and rehabilitation scientists who advance health care and disease prevention for diverse communities in Minnesota and beyond. More information can be found on our
-
information and apply it to the MN Department of Health, All Payers Database. Students will need knowledge on claims data to understand the differences between these two systems. We may use R or Python