49 modal-analysis-artificial-intelligence Postdoctoral positions at University of Minnesota
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field deployment 30% modelling of whole-farm greenhouse gas fluxes 20% analysis of trace gas flux data and model outputs 30% manuscript writing & publication Qualifications Required Qualifications PhD in
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training while also performing services for the University of Minnesota, for which they are compensated. This position will involve analysis of variation in soybean and pea genomes, including natural
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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
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Preferred Qualifications Previous research experience in soil sample analysis (e.g. hydraulic conductivity, porosity, bulk density) Experience with GIS programs, including ArcGIS Understanding of global and
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Record of scholarly publication Strong quantitative analysis skills, with a minimum of 3 years of statistical programming experience with R, Stata, and/or SAS Excellent English language written, verbal
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, generating data, data collection, data analysis, manuscript writing, and other related oral and written reports. · 20% Contribute to collaborative projects led by other researchers. Qualifications Required
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Duties/Responsibilities: 80% Experimental Research • Development, design, and implementation of experiments related to ongoing projects in the laboratory • Data Analysis and determination of next steps
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partners in the design, implementation, and analysis of experiments is essential. Preparation of manuscripts for submission to scientific journals and presentation at scientific meetings is required. 10
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(These examples do not include all possible tasks in this work and do not limit the assignment of related tasks.) 90% Research and data analysis: Individual will design and conduct complex, multi-step laboratory