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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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domains. Qualifications Required Qualifications: A recent PhD in a mathematical or scientific field (e.g., physics, computer science, statistics, applied mathematics, or a related quantitative discipline
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, Statistics, Epidemiology, or Computer Science -Highly qualified and motivated investigator (PhD, or MD/PhD) Preferred Qualifications: -Experience in statistical methods and analysis using SAS, R, or STATA. Pay
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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
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procedures in a laboratory notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. Operations - 10% • Work with Lab manager to keep the laboratory
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collaborative meetings with internal and external faculty members. Supervise undergraduate and Master’s students. Qualifications Required Qualifications PhD in one of the engineering sciences (Chemical
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Institutional Review Board (IRB) protocols. ● Design and execute data analysis pipelines using statistical methods and advanced computational tools. ● Translate complex findings into clear data visualizations
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are subject to change as research needs change. It is expected that up to 20% of job duties may change annually. Qualifications Qualifications: PhD degree required in ecology, plant or microbial biology