115 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" "IFM" research jobs at University of Minnesota in United States
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Previous Job Job Title Data Research Fellow (Rsch Pro 4-Stats Analysis) Next Job Apply for Job Job ID 372420 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Summary: The Jain Lab (https://jain-lab.org/) is recruiting an enthusiastic postdoctoral fellow interested in
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for investigating the relationship between genome transformation and genome activities with the data obtained from public domains and/or collaborators, writing research proposals and reports, participating in
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of the Minnesota Robotics Institute , the Minnesota Nano Center , the Characterization Facility , the Center for Magnetic Resonance Research , and the Minnesota Supercomputing Institute . More information about the
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% of eligible tuition Student loan forgiveness opportunity Opportunities for growth and promotion Employee Assistance Program For more information regarding benefits: https://humanresources.umn.edu/sites
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small plot tillage, planting and harvesting equipment 3) Assist supervisors in preparing field research plots 4) Perform routine maintenance on project equipment 5) Data/sample collection as needed 6
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to carry out experiments and analyze data. The primary research responsibilities will include the analysis of human clinical samples, including measurement of viral titers and viral genomic analyses. Other
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mathematical modelers and statisticians to perform data analyses. This work will include working with influenza viruses, rhinoviruses, and human coronaviruses. Responsibilities Include: Research- 75% • Perform
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system. The selected person will also help summarizing the data from 2025 trials and help with the other research activities in the lab. Location and Work environment UMN St. Paul Campus Job Duties and
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Qualifications: PhD in computational genomics Experience with: • Computational and bioinformatics • Machine learning and statistical modeling • Programming and data infrastructure • Experimental and Field Methods