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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties: 85% lead soil data analysis, model implementation, and dissemination of research findings 5% development and guide
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoctoral Research Associate: Mathematical Foundations of Data Analysis in
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building and testing analysis and monitoring software for its upcoming data run in 2027. 70%: Research, divided between Mu2e and Mu2eII. 10% Supervision of graduate students, technicians, and undergraduates
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research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply. Key Responsibilities Research Leadership & Data Analysis (80%) ● Lead the analysis of complex
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(These examples do not include all possible tasks in this work and do not limit the assignment of related tasks.) 90% Research and data analysis: Individual will design and conduct complex, multi-step laboratory
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for ongoing projects, data analysis results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: -A PhD in Biostatistics
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proteins and perform western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep
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on the development of temperature-controlled systems for organ and tissue preservation, with an emphasis on clinical translation and application (55%). -Perform data analysis, presentation preparation, manuscript
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graduate students Qualifications Required Qualifications: PhD that included bioinformatic and statistical analysis of microbiome, metagenomic, and/or WGS data Experience with basic molecular techniques