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. Other Preferred Skills: Experience using field instruments such as electrical resistivity tomography (ERT) and borehole nuclear magnetic resonance (bNMR) methods for time-lapse subsurface investigation in
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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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organizational and program objectives. Learn qualitative research methods through conducting in-depth interviews with internal stakeholders and staff. Build analytical skills by performing gap analyses and
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evaluation methods used to strengthen public health initiatives serving rural communities. The learning experience may include participation in Action Plan implementation activities through the Action Plan
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debris that align with your career interests, knowledge, and skills. Activities may include reviewing and synthesizing existing scientific literature; developing new concepts and methods; and extracting
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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
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. Training activities will include analyzing existing datasets and generating new molecular and metabolic data using advanced sequencing technologies and bioinformatics methods. Throughout the project, you
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, systems, and environmental strategies by learning methods to support community food system action planning and prioritization related to food and nutrition insecurity. Gaining experience with community
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-preventable diseases, respiratory illness prevention, immunization communication, and audience-centered public health messaging. You will strengthen skills in qualitative and quantitative research methods
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, particularly among wild soybeans, and applying innovative breeding methods to efficiently introgress exotic and wild genetic variation for yield, seed composition, and disease resistance into agronomically