114 parallel-computing-numerical-methods research jobs at University of Minnesota in United States
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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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, 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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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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assistant can work remotely. This opportunity offers direct involvement in participant-facing activities. Students will gain hands-on training in dietary recall methods and applied public health nutrition
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to study genetically defined neuron types involved in perceptual function and dysfunction in behaving rodents. Our new GEVIs and imaging approaches (see Kannan, Vasan et al., Nature Methods , 2018; Science
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. Publish research findings in peer reviewed journals. Pursue your own research interests within the broader theme of the position. Data Acquisition Methods and Practice (40%) Support staff involved in infant
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post doc to analyze genomic, phenomic, agronomic, and environmental data for the breeding program. The Shannon Lab breeds russets, chips, and fresh-market red and yellow potatoes at the tetraploid and
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on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine/deep learning with GWAS/sequencing data and other types of omic
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(10%): analyzing data and preparing figures of results, presenting data at lab meeting, and drafting methods or results sections for manuscripts. Qualifications All required qualifications must be
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or more of the following: ● Experience with urban watershed modeling or lake systems modeling ● Experience with limnological or aquatic field methods ● Experience with statistical methods for making