84 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Minnesota
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. elegans, biofilm assays and characterization, virulence factors quantification, and -omics data analysis. 20% - Design experiments To design routine experiments in frame with the research project objectives
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pathogenesis of infections, and fundamental aspects of immunity. Pay and Benefits Pay Range: $62,232 per year Please visit the Benefits for Postdoctoral Candidates website for more information regarding
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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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; leadership development and training; and much more. For more detailed information, see The Benefits of Working at the U and Benefits Summaries for Prospective Employees. The 9-month appointment will have a
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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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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 seeking applications for a Post
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extraction, cytokine ELISAs, quantitative RT-PCR, and basic epigenetic assays (e.g., histone-modification profiling). Prepare samples for transcriptomics (RNA-seq) and data interpretation. In vivo and BSL-2/3
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fibrillation and atrial myopathy. Job Responsibilities: 70%: You will be responsible for implementing project activities and conducting data analyses. You will be expected to collaborate with other team members
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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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for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training