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Computational Methods: ab initio molecular dynamics simulations, development of machine learning, and reaction rate theory and modeling Research: Project design, execution of calculations, data analysis
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soil moisture data, and physical and chemical soil data. Specifically, the individual will: Work with physical or machine learning models to explore drivers of soil structure, preferential flow, depth
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packages such as SAS, R, or Mplus. They will have the opportunity to visualize data for multiple audiences. They will learn to prepare and share datasets (along with data dictionaries) and scripts in public
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opportunity to visualize data for multiple audiences. They will learn to prepare and share datasets (along with data dictionaries) and scripts in public data repositories. In addition, they will help pre
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for knowledge are of paramount importance. The University of Kansas is committed to a learning and workplace environment that is representative of our nation and global society, accepts and values everyone
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Assist with conducting analyses of data from research projects that use the Self-Determined Learning Model of Instruction (SDLMI), the Self-Determined Career Design Model (SDCDM), the Self-Determination
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Longitudinal Modeling Analysis techniques for school-based research data. Professional Skills. Acquire strategies to write grants and manage research projects. Develop methods and skills to effectively