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. ● Strong quantitative analysis skills, including knowledge in statistical analysis software (R, Python, MatLab, etc). ● Applies knowledge and skill to a recurring task or activity with emphasis typically
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reproducibility through careful documentation and version control. Data Visualization and Reporting (25%) Develop high-quality visualizations and dashboards (e.g., using R, ggplot2, Shiny, or Quarto) to summarize
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picking up meals as needed. 25% Data processing and analysis: ●Processing data in MATLAB/R environments. ●Analyze data in MATLAB/R environments. ●Possibility of writing and reviewing documents associated
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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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RedCap. Proficiency in statistical software such as R, SAS, or Stata; experience with data visualization and reproducible workflows (e.g., R Markdown, Git) is desirable. Strong publication record in peer
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computing skills: knowledge of R and/or mPlus, longitudinal data analysis, structural equation modeling Evidence of ability to work as an independent scientist while collaborating with teams of peer
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sequencing data and the development of code for analysis. The current project will require coding in Bash, Python, and R. - duties 100% computational biology Qualifications Required Programming skills in Bash
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support during research sessions, including coordinating and picking up meals as needed. 25% Data processing and analysis. ●Processing data in MATLAB/R environments. ●Analyze data in MATLAB/R environments
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collection and analysis tools including, including R, Jamovi, SPSS, REDCap, Qualtrics, etc. • Familiarity with programming and scripting languages relevant to scientific computing (e.g., MATLAB, Python, R
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for field and laboratory datasets. Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications. Create and maintain