69 data "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" Postdoctoral positions at University of Minnesota
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for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training
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% Detailed documentation of procedures and experimental data is required. This involves analyses of data, writing summary reports on results of work and discussing results with laboratory colleagues and
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, (ii) environmental modeling and/or advanced data analysis and statistical evaluation techniques, and (iii) treatment of water and soils containing organic contaminants using adsorption or other
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and Benefits Pay Range: $62,232/year Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous
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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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. 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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. 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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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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. • 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