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established software tools, with opportunities to explore and evaluate emerging analytical approaches. Gain experience measuring physiological responses to root treatments and characterizing plant traits
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reviews, statistical programming and analysis using software such as SAS, SUDAAN, and R, data interpretation and visualization, scientific writing, and scientific communication. You will also develop skills
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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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Young, PhD, MPH ([email protected] ). If you have questions about the nature of this opportunity, please contact the mentor(s). Anticipated Appointment Start Date: September 13, 2026. Start date is flexible
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partners, and the Nutrition and Obesity Policy Research and Evaluation Network (NOPREN). Training opportunities of the fellowship may include: Receiving training in assessing community programs that increase
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, or related data manipulation and analysis software Strong scientific and technical writing skills Experience with analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing
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regulatory network and exposure to real-world policy challenges will position you as a competitive candidate for advanced roles in government, academia, or the private sector. Mentor: The mentor
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networks. Build a publication record and strengthen research skills through engagement with academia, federal science, and operational avalanche forecasting communities. Mentor: The mentor
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using statistical software such as SAS or Stata is preferred Stipend $6,358.00 – $7,658.00 Monthly Point of Contact Rachel Eligibility Requirements Degree: Doctoral Degree received within the last 60