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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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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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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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modeling. 80% research - The project focuses on developing theoretical models using optimization and information theory to improve understanding of plant hydraulic regulation at the leaf, plant, and
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% – Conduct computational modeling and/or analyze data from clinical and preclinical studies related to neurological conditions (e.g., epilepsy, chronic pain, autonomic dysfunctions) 30% – Develop grant
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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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
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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extraction and RT-PCR. Prepare samples for next generation sequencing (NGS) and analysis of NGS data. Assist in projects involving bacteria and bacteriophages. Work after hours and on weekends as needed. Use