6 big-data-and-machine-learning-phd Postgraduate positions at University of Minnesota
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with GC-MS Analyze wax sample data with R and generate relevant plots and conduct statistical analyses Organize and maintain a mass spectral database Maintain equipment and work area according to high
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activities. (10%) Processing invertebrate or water quality samples in the laboratory. (5%) Using computer and GPS to navigate to sampling sites and manage field data. Qualifications Required Qualifications
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climate change on community infrastructure and substrate thaw and erosion. This position will focus primarily on data creation for the spatial modeling aspect of the project using compiled data from
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support
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, data entry, organizing and cleaning the laboratory, and following written protocols. 8 hours/week will be spent on laboratory tasks, and 2 hours/week on reading and data entry. Qualifications At least a
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information regarding benefit eligibility. The University offers a comprehensive benefits package that includes: Competitive wages, paid holidays, and generous time off Continuous learning opportunities through