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children and adolescents, preferably in clinical settings. Experience with data management, statistical software (e.g., R, SPSS), survey development and implementation (e.g., Qualtrics), and coding. Ideal
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psychology lab or other clinical sciences after graduation. Experience interfacing with children and adolescents, preferably in clinical settings. Experience with data management, statistical software (e.g., R
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of a Bachelor's degree in mathematics, statistics, finance, accounting, economics, engineering, or a related field Preferred Qualifications: Proficiency with statistical software, such as SAS, Stata, R
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of nutrition data. The role will require experience in statistical analysis using STATA programming, R and analysis of dietary assessments and nutrient intake data using software such as Nutrisurvey. The goal
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field work Experience with Matlab, R, Arduino, ImageJ Salary Range $31,200 + depending on qualifications Working Conditions May work in all weather conditions May work in remote marine or estuarine field
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multichannel pipettes and 96 well reaction plates). Computer literacy and proficiency (Microsoft Word and Excel required, basic datasheet manipulation with R or Python preferred). Ability to communicate
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or qualitative analysis of datasets (including use of SPSS, R or other relevant software) Evidence of research productivity, such as report-writing and writing papers for publication Additional Information Part
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confocal microscopy. Computational experience with R and bash processing. Computer experience with spreadsheet and word processing applications. Experience or willingness to learn quantitative analysis
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planning. Coursework or research experience in road safety, traffic modelling, or transportation planning. Proficiency in working with open data sources for traffic and transit operations using R, Python
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., instrumental variables, propensity score matching, and treatment effects). Familiarity with one or more statistical software packages (e.g., R, Stata, Python) for data analysis. Research Aptitude: Demonstrated