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sequencing in cattle. Developing better statistical methods to improve association studies with QTL and enhancing genetic prediction tools for automation of data processing required for SNP use in livestock
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to reduce foodborne illnesses attributed to meat and poultry. Research Project: This educational opportunity focuses on understanding and evaluating methods for Salmonella quantification and virulence assays
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the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
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participant will be afforded the opportunity to expand their computer and data science skills. Through collaboration, the participant will have the opportunity to understand cervid behavior and animal movement
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interdisciplinary team composed of USDA-ARS and UC Davis experts! We are seeking a fellow to be a part of our research that involves assessing and monitoring aquifer recharge methods in California’s Central Valley
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to integrate diverse perspectives and convergent methods in addressing complex social dimensions of wildland fire management. Mentor: The mentor for this opportunity is David Flores (david.flores2@usda.gov
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on developing methods for the genetic engineering of grapevine (Vitis vinifera) and potentially other plants with the goal of generating plant varieties with novel desirable traits. Combinations of tissue culture
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insecticides using nano- or microparticles, Evaluate active ingredients, and; Develop novel methods that incorporate existing and new products to create new tools for an integrated pest management plan
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analysis experience and scientific writing ability Experience with systematic or scoping reviews (or other structured knowledge-synthesis methods) Experience in R or Stata Knowledge of experimental and
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micrometeorological and remotely sensed datasets, as well as the analysis of soil and plant samples. Advance experimental design techniques by developing, evaluating, and refining innovative measurement methods