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gene expression analysis to study animal models and human immune cells. We are currently exploring the biology of tolerance versus allergy to foreign proteins in animal models and developing a deep
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%) • Generation of quantitative parametric maps (10%) • Critical analysis of data quality (5%) • Data storage and organization in databases (5%) • Summarizing results (5%) • Preparing manuscript and presentations
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) the names and contact information of at least three professional references. Qualifications Requirements Required Minimum Qualifications: PhD in Microbiology, Microbial Ecology, or a closely related field
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Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: • PhD in Electrical & Computer Engineering, Computer Science, Biomedical
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leading role in the development and construction of the CMS high granularity endcap calorimeter for the HL-LHC. The successful candidate will have significant involvement in both data analysis and detector
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understanding the public health impact of a nationwide nicotine standard for cigarettes. Specific topics include detecting and evaluating treatment effect heterogeneity, causally interpretable meta-analysis, data
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institutions. Primary responsibility will be to develop, test and validate various sequences in healthy volunteers at 10.5 T. Additional responsibilities will be spectral processing, critical analysis of data
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Required Qualifications • PhD in epidemiology, population sciences, health policy or closely related field • Experience with cancer research data • Experience with statistical analysis packages including SAS
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, immunoblotting, qPCR, cloning, analysis of immune function, FACS, experimental design, data analysis and recording primary data and methods used. 10% Research communication Critical analysis of the literature
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in the University of Minnesota. The research will focus on applying, developing and implementing novel statistical methods for causal inference, integrative data analysis or/and machine/deep learning