99 data-"https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" research jobs at University of Minnesota
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. This individual will also assist in developing the infrastructure, tools, and collaborations needed to integrate genomic, transcriptomic, imaging, and clinical data in ways that advance precision veterinary
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of Retired Persons’ (AARP) annual State Scorecard on Long-Term Services and Supports (LTSS) for Older Adults (http://www.longtermscorecard.org/), due to the dynamic collaboration that exists between
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molecular biology techniques to clone or modify genes. The work also involves interaction with other lab member(s), participation in lab meeting, and supervision of undergraduate students. 30% - Data Analysis
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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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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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strains), and analyze data. 20% - The Temp Casual Employee will assist with general tasks that improve the daily function of the laboratory that include preparation of stock solutions, autoclaving, keeping
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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
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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
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). Responsibilities: • (60%) Lead research projects in bioinformatics and data-driven discovery. o Design and execute bioinformatics workflows for multi-omic datasets, including RNA-seq, scRNA-seq, ATAC-seq, and
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. • The successful candidate will work efficiently to master the scientific field, contribute positively to the scientific culture of the laboratory, and present their own data and analysis in formal and informal