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are to enhance barley and oat productivity, quality, and stress resilience by combing traditional, molecular, and genomics methods. You will collaborate with other scientists in the unit and other institutes
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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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organizational goals. Designing and implementing a public health program evaluation using quantitative and qualitative data analysis methods. Reporting evaluation results using data visualization techniques
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, implementation and evaluation science, program evaluation, mixed methods research and evaluation, applied prevention research, systematic literature reviews, data analysis, data interpretation and visualization
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, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection
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. The host institution application closes on Oct. 2, 2026, at 3:00 p.m. ET/12:00 p.m. (noon) PT. Late, incomplete, or non-formally submitted applications will not be considered or accepted. Applications can be
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their research. Additional funds are available for supplies and travel essential for the fellow's research. Research Project: Under the guidance of a mentor, you will apply computational methods for identifying
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of microbial processes. Learn methods for measuring food texture, with a specific focus on vegetables, to explore applications in food science. This experience is designed to foster growth in scientific
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expand your research skills and knowledge under the mentorship of PhD-level scientists in entomological-based research, experimental design, and data analysis. Mentor(s): The mentor for this opportunity is
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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing