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of multiple surveillance and administrative data sources. Development of reproducible analytical workflows using programming languages such as R and Python. Application of machine learning and predictive
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language processing, data science, computational methods, or related quantitative approaches. Experience with Python, R, SQL, or other analytical or programming tools. Strong analytical and critical-thinking skills and
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systems such as SAS, R, or python is highly desired. Point of Contact Rachel Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Master's Degree or Doctoral Degree received within the last 60
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products Familiarity with relational databases, data management, and data quality principles Experience with analytical or automation tools such as R, R Markdown, Python, SQL, or similar technologies
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in epidemiology, research, and statistics Well-versed in R/R Studio, SAS, Microsoft Suite Knowledge of SQL and Python Point of Contact Rachel Eligibility Requirements Citizenship: U.S. Citizen Only
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in the one of the relevant fields. Preferred Skills: Strong skills in data analysis and database management; statistics and programming knowledge preferred (e.g. R/R Studio, SAS, Stata, SQL, Python
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physical activity promotion. Learn how to apply quantitative and qualitative analytic methods, including opportunities to use GIS, statistical software (R or Python), and emerging analytic approaches
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meteorological, snowpack, and avalanche datasets using statistical, geospatial, and programming tools (R and Python). Calibration, evaluation, and application of snowpack and hydrologic models (e.g., SNOWPACK
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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to lift and operate heavy equipment (at least 50 lbs) in hot, dry field conditions. Ability to engage with, process, and integrate diverse data streams. Coding experience (Python preferred, but others