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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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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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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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contingent on the availability of funds. Level of Participation: The appointment is full time. Participant Stipend: Stipend rates may vary based on numerous factors, including opportunity, location, education
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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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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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, remote sensing, numerical modeling, and data science within an applied research environment. Engage with an interdisciplinary scientific team and interagency collaborators, strengthening professional
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, overlap, and opportunities for integration; explore methods for measuring development and performance; analyze how clinical, laboratory, genomic, environmental, event-based, and other surveillance
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, and decreases animal suffering and death. Our prion research program at Virus and Prion Research Unit investigates prion diseases across multiple species, including Bovine Spongiform Encephalopathy (BSE