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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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which unresolved questions to study Deciding on the appropriate theoretical methods to use to answer these questions Deriving or extending these methods as needed Evaluating the results for consistency
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Research Description: Position will require the development and application of numerical codes modeling the nonlinear
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environment where everyone can achieve their full potential. The School is supported by numerous centers which extend the research and outreach missions of the department, including the Institute
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sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
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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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, biomechanics, engineering). Strong research background and publication record in electroencephalography (EEG), in particular using source localization methods. Enthusiasm for interdisciplinary collaboration
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Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and
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and poster format by preparing abstracts and slides for presentation. • Instruct students, fellows and other inexperienced professional persons in proper laboratory methods and procedures
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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