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while building competency in laboratory methodologies. Learning activities may include: Analyzing and visually presenting scientific data Contributing to the development and refinement of laboratory
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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. Data management skills and demonstrated experience managing, standardizing, synthesizing, and visualizing large, disparate natural resource (e.g., forest inventory, climate, land use, soils, elevation
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forest restoration Develop skills in modeling silvicultural treatment outcomes Acquire advanced data analysis skills in the data management, analysis, and visualization of long-term experiments Detail
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, data management, and analysis. Demonstrated experience in scientific writing and data analysis. Education and experience in data management, analysis, and visualization in R. Stipend $6,898.33 Monthly
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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: Comfortable with data processing, visualization, and system design process. Experience with analyzing/interpreting data. Able to diagram processes and flow within patient surveys. Knowledge of medical care