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genetic, genomic, and phenotypic datasets, to support research and crop improvement. Basic and applied research is also conducted within this project. You will use methods in computational biology to
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associated mechanisms. The primary focus of the fellowship is to gain experience in applying the scientific method to field trials and lab assays, collecting plant samples and data, and maintaining
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for Grain and Animal Health Research in Manhattan, KS. Our mission is to develop economical, effective, and ecologically sound methods for managing insect pests of grain and processed commodities, improve
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use of statistical software and data warehouses, while using pharmaceutical quality submission data. You will also develop an understanding of OPQ business processes, databases, and the regulatory
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Pharmacokinetics, data mining, data analysis, Pharmacomatrics, Pharmacology, and has software skills such as NONMEM, R or Python, SAS, etc. Point of Contact Ashley Eligibility Requirements Citizenship: LPR or U.S
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phenotyping methods to assess susceptibility and evaluate established or newly developed screening approaches. This also includes developing and evaluating preharvest and postharvest treatments aimed
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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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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in the one of the relevant fields. Degree should be anticipated to receive by 12/31/2026. Preferred skills: Experience in quantitative research methods, including but not limited to epidemiological