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the specific aims of the USDA-NIFA grant and obtain preliminary results for a competitive renewal. Successful execution of these experiments is necessary to accumulate data to enable publication of project
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants
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Materials Science in the College of Science and Engineering on the East Bank Campus of the University of Minnesota-Twin Cities. For more information on CEMS please visit our website: https://www.cems.umn.edu
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expression of fungi in response to selenium exposure - Work with bioinformaticians to analyze fungal transcriptomics and proteomics data 45% COMMUNICATION - Communicate results through peer-reviewed
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that utilize them. Analysis work includes multiwavelength analysis of solar flare data from the Solar Dynamics Observatory, Solar Orbiter, and other missions. Job Duties: 30% Laboratory instrumentation work 30
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at the University of Minnesota seek a motivated scientist with applied field research experience to evaluate existing data from research trials conducted in Minnesota and establish and coordinate nitrogen fertilizer
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with specific coursework. Conducting institutional and inter-institutional policy and planning reviews. Providing resource support for committees. Collecting and analyzing data. Keeping records
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centers. Abundant opportunities to analyze existing data sets and publish in peer reviewed journals. Names, addresses and e-mail addresses of two to three individuals who will provide letters of reference
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concepts to device fabrication, measurements, data discussion and analysis. The successful candidate will interact extensively with the PI, graduate and undergraduate students. Job Duties: 35 % experiment
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with qualitative analysis of educational research data. • Evidence of peer-reviewed publications or presentations in education research • Experience applying pedagogical best practices and evidence-based