8 Statistics research jobs at University of Minnesota Twin Cities in USA in United States
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employs machine learning methods to integrate high-dimensional multi-omics data, elucidating biological insights into aging and disease pathways. The successful candidate will specialize in statistical
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expected to operate independently and maintain general operation of the lab (ordering supplies, maintaining records, etc.), design experiments, conduct research, evaluate results, perform statistical
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, colleagues, community members) from diverse communities and cultures. Coursework in statistics, decision analysis, data science, computer science and/or applied mathematics. Create a Job Alert for Similar Jobs
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data. Outcomes of focus include chronic kidney disease, diabetes, and lung cancer. Key Responsibilities: 80% Perform analytics and statistical modeling on existing data for the purpose of scientific
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on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning with GWAS/sequencing data and multiple types of omic/neuroimaging
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samples for biobanking. ⢠Experience in microscopy and FACS data analysis. ⢠Experience with image analysis and statistical software. ⢠Proficiency in Western blotting/immunoblotting. ⢠Knowledge
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as well as a member of a research team Experience coding in at least one computer science or statistical software language (e.g., R, SAS, Stata, Python, MATLAB, etc.) Preferred Qualifications Masters
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emerging tools, analytical methods, data collection systems and software needed to support research projects. Write journal/publication quality methodology and statistical presentations (graphs, charts