59 data "https:" "https:" "https:" "https:" Postdoctoral research jobs at University of Minnesota
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for Magnetic Resonance Research , and the Minnesota Supercomputing Institute . More information about the department is available at https://cse.umn.edu/aem . Pay and Benefits Pay Range: $61,108 - $62,232
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. Experience working with mice, handling primary and continuous cell culture, multicolor FACS staining and analysis is highly desirable. Working knowledge of bioinformatic analysis of omics data is desired but
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diagnostic assessment measures and information, to develop manuscripts. • Independent Research: The fellow will be encouraged to develop research projects of interest to them that can be conducted with our
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/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin 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
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digital health can improve food access and education in food preparation. Primary responsibilities conducting interviews, supervising research assistants, managing and analyzing data, and assisting with
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. The candidate will also be involved in production of these molecules and NK cell gene editing. (30% of effort) The candidate will also be expected to analyze literature, prepare and present data, collaborate
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) of 2026 and 2027. Virtual/flexible work may consist of tasks such as data analysis and manuscript writing that are easily done from home or other locations. 70% St.Paul Campus 15% Remote work at field
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within the College of Science & Engineering. More information about the department can be found at https://cse.umn.edu/cege Pay and Benefits Fixed Pay Rate: $61,008 annually Please visit the Benefits
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Technical Development Work • Become proficient at programming the digital magnetic resonance spectrometer (DMRS) • Optimize and validate MR techniques to measure pO2 in encapsulated devices • Perform data
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to microbial biodegradation of plastics. Maintain cultures and keep detailed notebooks and digital data related to the project. 20% Supervise graduate students and undergraduates in performing routine laboratory