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development, and disseminate results at conferences. This position will work Monday-Friday with weekends as needed. Expected distribution of duties includes: ● 75%: Laboratory benchwork ● 25%: Data analysis
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traps, statistical analysis of animal behavior, and GIS/geospatial analysis. The task of the new team member will be to capture and radio collar foxes and coyotes in and around the Twin Cities Metro Area
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential
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. Support experimental data collection, analysis, and presentation of results. Entrepreneurship Efforts – 20% ● Work with the PI and the team in the commercialization efforts. ● Interview people in
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community partners (throughout all steps of the research project including: development of research questions, data collection, data analysis and visualizations, publishing manuscripts, and presenting results
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related to engineering specialized metabolite biosynthetic pathways Essential and Other Functions: (40%) molecular biology and microbiology (50%) Data analysis (10%) Prepare manuscripts and communications
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the organization structure of the School of Physics and Astronomy. Job Duties 80% research, analysis, and dissemination of results to the collaboration and the science community; 15% staying abreast of developments
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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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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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, working groups Qualifications Required Qualifications: ● PhD in water resources, hydrology, aquatic ecology, limnology, wetland ecology or a related field ● Experience with synthesis and analysis of large