85 data-mining Postdoctoral research jobs at University of Minnesota in United-States
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reporter proteins in vivo in mouse eyes. 10%- Participate in meetings with principal investigator and research staff and evaluate/interpret the validity of data as needed. 5%- Carry out assigned duties
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/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous
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/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning
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handling skills Pay and Benefits Pay Range: $61,008.00 - $65,000.00; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information
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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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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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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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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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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